Data mining
Resource Information
The concept Data mining represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
The Resource
Data mining
Resource Information
The concept Data mining represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
- Label
- Data mining
- Authority link
- http://id.worldcat.org/fast/00887946
- Source
- fast
100+ Items that share the Concept Data mining
Context
Context of Data miningSubject of
- 10th IEEE International Conference on Data Mining Workshops : proceedings : ICDMW 2010 : Sydney, Australia, 14 December 2010
- 2001 IEEE International Conference on Data Mining : proceedings : 29 November-2 December, 2001, San Jose, California
- 2002 IEEE International Conference on Data Mining : proceedings : ICDM 2002 : 9-12 December, 2002, Maebashi City, Japan
- 2006 IEEE/WIC/ACM International Conference on Web Intelligence : (WI 2006 main conference proceedings) (WI '06) : proceedings : 18-22 December 2006, Hong Kong, China
- 2007 IEEE Symposium on Computational Intelligence and Data Mining : Honolulu, HI, 1-5 April 2007
- 2008 IEEE Systems and Information Engineering Design Symposium : 25 April 2008, University of Virginia, Charlottesville, VA
- 2009 2nd Conference on Data Mining and Optimization : 27-28 October 2009 : Bangi, Selangor, Malaysia
- 2009 Asia-Pacific Conference on Information Processing : APCIP 2009 : proceedings, 18-19 July 2009, Shenzhen, China
- 2009 IEEE International Conference on Data Mining Workshops : proceedings : ICDMW 2009 : 6 December 2009, Miami, Florida
- 2009 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2009) proceedings : March 30-April 2, 2009, Sheraton Music City Hotel, Nashville, TN, USA
- 2009 IEEE Systems and Information Engineering Design Symposium : 24 April 2009, University of Virginia, Charlottesville, VA
- 2010 First ACIS International Symposium on Cryptography, and Network Security, Data Mining and Knowledge Discovery, E-Commerce and Its Applications, and Embedded Systems : CDEE 2010 : 23-24 October 2010, Qinhuangdao, Hebei, China
- 2010 IEEE Systems and Information Engineering Design Symposium : program and author index : 23 April 2010, University of Virginia, Charlottesville, VA
- 2010 International Conference on Advances in Social Network Analysis and Mining : ASONAM 2010 : 9-11 August 2010 : Odense, Denmark
- 2011 International Conference on Advances in Social Network Analysis and Mining : ASONAM 2011 : 25-27 July 2011, Kaohsiung, Taiwan
- 5th International Conference on Machine Learning and Applications : ICMLA 2006 : proceedings : 14-16 December 2006, Orlando, Florida
- A data-driven approach to customer relationships : a case study of Nedbank's data practices in South Africa
- A practical guide to data mining for business and industry
- A whirlwind tour of Python
- ACIIDS 2009 : proceedings : First Asian Conference on Intelligent Information and Database Systems : 1-3 April 2009 Dong Hoi, Vietnam
- ACM transactions on knowledge discovery from data
- AIDM 2006 : International Workshop on Integrating AI and Data Mining : Hobart, Tasmania, 4-5 December, 2006
- Actionable web analytics : using data to make smart business decisions
- Advanced data analytics using Python : with machine learning, deep learning and NLP examples
- Advances in data mining : applications and theoretical aspects : 11th industrial conference, ICDM 2011, New York, NY, August 30-September 3, 2011 : proceedings
- Advances in knowledge discovery and data mining : 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010 : proceedings
- Advances in social media analysis
- Agile data science
- Agile data science 2.0 : building full-stack data analytics applications with Spark
- An introduction to text mining : research design, data collection, and analysis
- Analiza danych w bizenesie : Sztuka podejmowania skutecznych decyzji
- Apache Solr 3.1 cookbook : over 100 recipes to discover new ways to work with Apache's enterprise search server
- Apache Spark for Data Science Cookbook
- Applied data mining for forecasting using SAS
- Applied unsupervised learning with R
- Ask, measure, learn : using social media analytics to understand and influence customer behavior
- Ask, measure, learn : using social media analytics to understand and influence customer behavior
- Assessing and improving prediction and classification : theory and algorithms in C++
- Automation of nuclear fuel pellet inspection using machine vision
- BIRT 2.6 data analysis and reporting : create, design, format, and deploy reports with the world's most popular Eclipse-based business intelligence and reporting tool
- Badanie danych Raport z pierwszej linii działań
- Behind every good decision : how anyone can use business analytics to turn data into profitable insight
- Big Data : Entwicklung und Programmierung von Systemen für große Datenmengen und Einsatz der Lambda-Architektur
- Big Data Analytics with Applications in Insider Threat Detection
- Big Data Glossary
- Big Data analytics with R and Hadoop : set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics
- Big data : a business and legal guide
- Big data : algorithms, analytics, and applications
- Big data : principles and best practices of scalable real-time data systems
- Big data analytics : turning big data into big money
- Big data analytics beyond Hadoop : real-time applications with Storm, Spark, and more Hadoop alternatives
- Big data analytics using Splunk
- Big data analytics with Spark : a practitioner's guide to using Spark for large-scale data processing, machine learning, and graph analytics, and high-velocity data stream processing
- Big data application architecture Q & A : a problem-solution approach
- Big data driven supply chain management : a framework for implementing analytics and turning information into intelligence
- Big data factories : collaborative approaches
- Big data for chimps : a guide to massive-scale data processing in practice
- Big data forensics--learning Hadoop investigations : perform forensic investigations on Hadoop clusters with cutting-edge tools and techniques
- Big data fundamentals : concepts, drivers & techniques
- Big data imperatives : enterprise big data warehouse, BI implementations and analytics
- Big data now : current perspectives from O'Reilly radar
- Big data, big analytics : emerging business intelligence and analytic trends for today's businesses
- Big data, data mining and machine learning : value creation for business leaders and practitioners
- Biodata mining
- Biodata mining
- Biostatistics Using JMP
- Breakthrough Business Analysis
- Building Cognitive Applications with IBM Watson Services : Volume 1 Getting Started
- Building Cognitive Applications with IBM Watson Services : Volume 2 Conversation
- Building recommendation engines : understand your data and user preferences to make intelligent, accurate, and profitable decisions
- Building the unstructured data warehouse
- Business Intelligence und Reporting mit Microsoft SQL Server 2008 : OLAP, data mining, analysis services, reporting services und integration services mit SQL Server 2008
- Business intelligence and data mining
- Business unintelligence : insight and innovation beyond analytics and big data
- Citizen empowered mapping
- Citizen in sensor networks : First International Workshop, CitiSens 2012, Montpellier, France, August 27, 2012 : revised selected papers
- CiviCRM cookbook : master this web-based constituent relationship management software for nonprofit and civic sector organizations
- Classification of twitter trends using feature ranking and forward feature selection
- Cloudera Impala
- Collective intelligence in action
- Commercial data mining : processing, analysis and modeling for predictive analytics projects
- Communicating data with Tableau
- Competing on analytics : the new science of winning
- Coolhunting : chasing down the next big thing
- Cost-Based Pricing
- Croatian Operational Research Review
- Croatian Operational Research Review
- Customer and Business Analytics : Applied Data Mining for Business Decision Making Using R
- Customer segmentation and clustering using SAS Enterprise Miner
- DBKDA 2009 : the First International Conference on Advances in Databases, Knowledge, and Data Applications : proceedings : Gosier, Guadeloupe, France, 1-6 March 2009
- DBKDA 2010 : the Second International Conference on Advances in Databases, Knowledge, and Data Applications : proceedings : 11-16 April 2010, Menuires, France
- Data Analysis in the Cloud : Models, Techniques and Applications
- Data Jujitsu
- Data Mining mit Microsoft SQL Server : Analyse und Mustererkennung in Daten mit Excel 2007 und SQL Server 2005/2008
- Data Science mit Python : das Handbuch für den Einsatz von IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit-Learn
- Data analysis using SQL and Excel
- Data analytics for corporate debt markets : using data for investing, trading, capital markets, and portfolio management
- Data clustering : algorithms and applications
- Data driven : creating a data culture
- Data just right : introduction to large-scale data & analytics
- Data lake architecture : designing the data lake and avoiding the garbage dump
- Data mining : concepts and techniques
- Data mining : know it all
- Data mining : practical machine learning tools and techniques
- Data mining : practical machine learning tools and techniques
- Data mining algorithms in C++ : data patterns and algorithms for modern applications
- Data mining and knowledge discovery
- Data mining and knowledge discovery
- Data mining and learning analytics : applications in educational research
- Data mining and learning analytics : applications in educational research
- Data mining and predictive analysis : intelligence gathering and crime analysis
- Data mining and predictive analytics
- Data mining for business intelligence : concepts, techniques, and applications in Microsoft Office Excel with XLMiner
- Data mining for dummies
- Data mining for the social sciences : an introduction
- Data mining in finance : advances in relational and hybrid methods
- Data mining methods for the content analyst : an introduction to the computational analysis of content
- Data mining techniques : for marketing, sales, and customer relationship management
- Data mining techniques in CRM : inside customer segmentation
- Data mining techniques in grid computing environments
- Data mining with Microsoft SQL server 2008
- Data mining with SPSS
- Data munging with Hadoop
- Data preparation for analytics using SAS
- Data science : mindset, methodologies, and misconceptions
- Data science and big data analytics : discovering, analyzing, visualizing and presenting data
- Data science and machine learning with Python - hands on!
- Data science at the command line
- Data science for business
- Data science for dummies
- Data science from scratch : first principles with Python
- Data science fundamentals for Python and MongoDB
- Data science with Python : unleash the power of Python and its robust data science capabilities : a course in four modules
- Data scientist : the definitive guide to becoming a data scientist
- Data simplification : taming information with open source tools
- Data smart : using data science to transform information into insight
- Data strategy and the enterprise data executive : ensuring that business and IT are in synch in the post-big data era
- Data visualization : a successful design process : a structured design approach to equip you with the knowledge of how to successfully accomplish any data visualization challenge efficiently and effectively
- Data wrangling with Python : creating actionable data from raw sources
- Data wrangling with Python : tips and tools to make your life easier
- Data-driven business decisions
- Datenanalyse mit Python
- Datenanalyse mit Python : Auswertung von Daten mit Pandas, NumPy und IPython
- Datenanalyse von Kopf bis Fuß
- Designing and developing analytics-based data products : an increasing number of companies are creating products that combine data with analytical capabilities : creating an effective development process for these data products requires following well-established steps - and adding a few new ones, too
- Developing Analytic Talent : Becoming a Data Scientist
- Digital disconnect
- Discovering Business Intelligence Using MicroStrategy 9
- Discovering knowledge in data : an introduction to data mining
- Discovery science : 15th International Conference, DS 2012, Lyon, France, October 29-31, 2012 : proceedings
- Disruptive analytics : charting your strategy for next-generation business analytics
- Diversity heuristic
- Doing data science
- EPJ data science
- EPJ data science
- Entity information life cycle for big data : master data management and information integration
- Ethics of big data
- Expert cube development with Microsoft SQL Server 2008 Analysis Services : design and implement fast, scalable, and maintainable cubes
- Exploring data with RapidMiner : explore, understand, and prepare real data using rapidminer's practical tips and tricks
- Fifth IEEE International Conference on Data Mining : ICDM 2005 : proceedings : 27-30 November, 2005, Houston, Texas
- Fighting terror in cyberspace
- Foundations of intelligent systems : 20th international symposium, ISMIS 2012, Macau, China, December 4-7, 2012 : proceedings
- Fourth IEEE International Conference on Data Mining : ICDM 2004 : proceedings : 1-4 November, 2004, Brighton, United Kingdom
- Fourth International Workshop on Mining Software Repositories (MSR 2007) : proceedings, ICSE 2007 workshops : [20-26 May 2007, Minneapolis ICSE 2007
- Frank Kane's Taming big data with Apache Spark and Python : real-world examples to help you analyze large datasets with Apache Spark
- Fraud and fraud detection : a data analytics approach
- Fundamentals of predictive analytics with JMP
- Fundamentals of predictive analytics with JMP
- Fuzzy modeling and genetic algorithms for data mining and exploration
- Game Data Analysis : Tools and Methods
- Getting Started With Amazon Redshift
- Getting Started with Beautiful Soup
- Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum
- Getting started with Python data analysis : learn to use powerful Python libraries for effective data processing and analysis
- Getting started with SAS Enterprise miner 12.3
- Getting started with data science : making sense of data with analytics
- Graphing data with R : an introduction
- Guerrilla analytics : techniques for managing data and analytics teams
- HBR's 10 must reads on AI, analytics, and the new Machine Age
- Hadoop 2 Quick-Start Guide : Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem
- Hands-on business intelligence with Qlik Sense : implement self-service data analytics with insights and guidance from Qlik Sense experts
- Hands-on data science with Java
- Hands-on problem solving for machine learning
- Head first data analysis
- IBM SPSS Modeler cookbook : over 60 practical recipes to achieve better results using the experts' methods for data mining
- IBM SPSS modeler essentials : effective techniques for building powerful data mining and predictive analytics solutions
- IBM Watson Content Analytics : discovering actionable insight from your content
- IBM content analytics version 2.2 : discovering actionable insight from your content
- ICDM 2008 : proceedings, Eighth IEEE International Conference on Data Mining : 15-19 December 2008, Pisa, Italy
- ICDM Workshops 2006 : proceedings : 18 December, 2006, Hong Kong, China
- ICDM Workshops 2008 : proceedings, IEEE International Conference on Data Mining Workshops 2008 : 15-19 December 2008, Pisa, Italy
- ICMLA 2005 : proceedings : 15-17 December 2005, Los Angeles, CA
- ICMLA 2007 : Sixth International Conference on Machine Learning and Applications : proceedings : 13-15 Dec. 2007, Cincinnati, Ohio, USA
- ICMLA 2008 : Seventh International Conference on Machine Learning and Applications : proceedings : 11-13 Dec. 2008, San Diego, California
- IEEE TENCON 2003 : Conference on Convergent Technologies for the Asia-Pacific Region : October 15-17, 2003, Bangalore, India
- ISI 2007 : 2007 IEEE Intelligence and Security Informatics : 23-24 May, 2007, New Brunswick, NJ, USA
- ISI 2008 : 2008 IEEE International Conference on Intelligence and Security Informatics, June 17 20, 2008, Taipei, Taiwan
- ISI 2010 : 2010 IEEE International Conference on Intelligence and Security Informatics, public safety and security, May 23-26, 2010, Vancouver, BC, Canada, conference venue, the Fairmont Waterfront Hotel
- Implementing Splunk : a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2
- Improving the user experience through practical data analytics : gain meaningful insight and increase your bottom line
- Information
- Information
- Information Reuse & Integration, 2009, IRI '09, IEEE International Conference on : 10-12 Aug. 2009 : [Tuscany Hotel, Las Vegas, Nevada]
- Information management : strategies for gaining a competitive advantage with data
- Information security risk assessment toolkit : practical assessments through data collection and data analysis
- Instant Nokogiri : learn data scraping and parsing in Ruby using the Nokogiri gem
- Instant PHP web scraping : get up and running with the basic techniques of web scraping using PHP
- Instant Web scraping with Java : build simple scrapers or vast armies of Java-based bots to untangle and capture the Web
- Instant Weka how-to : implement cutting-edge data mining aspects in Weka to your applications
- Instant data intensive apps with pandas how-to : manipulate, visualize, and analyze your data with pandas
- International Symposium on Information Processing : ISIP 2008, International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008, Moscow, Russia, 23-25 May 2008
- International Workshop on Challenges in Web Information Retrieval and Integration : proceedings : April 8-9, 2005, Tokyo, Japan
- International journal of advances in intelligent informatics
- International journal of data warehousing and mining
- International journal of data warehousing and mining
- Introducing data science : big data, machine learning, and more, using Python tools
- Introduction to Python and data science
- Introduction to machine learning with Python : a guide for data scientists
- Introduction to social media investigation : a hands-on approach
- JMP Essentials, 2nd Edition
- JMP version 11 : Using JMP
- Journal of big data
- Journal of big data
- KNIME Essentials
- Knowledge management and acquisition for intelligent systems : 12th Pacific Rim Knowledge Acquisition Workshop, PKAW 2012, Kuching, Malaysia, September 5-6, 2012. Proceedings
- Learn data analysis with Python : lessons in coding
- Learning Alteryx : a beginner's guide to using Alteryx for self-service analytics and business intelligence
- Learning Einstein Analytics : unlock critical insights with Salesforce Einstein Analytics
- Learning Elastic Stack 6.0
- Learning GraphQL and Relay : build data-driven React applications with ease using GraphQL and Relay
- Learning IBM Watson analytics : make the most advanced predictive analytical processes easy using Watson analytics with this easy-to-follow practical guide
- Learning IPython for interactive computing and data visualization : get started with Python for data analysis and numerical computing in the Jupyter notebook
- Learning Jupyter : learn how to write code, mathematics, graphics, and output, all in a single document as well as in a web browser using Project Jupyter
- Learning Microsoft Cognitive Services - Second Edition
- Learning Pentaho Data Integration 8 CE - Third Edition
- Learning Predictive Analytics with R
- Learning Qlik Sense : the official guide get to grips with the vision of Qlik Sense for next generation business intelligence and data discovery
- Learning Scrapy : learn the art of efficient web scraping and crawling with Python
- Learning Spark SQL
- Learning Splunk Web Framework : take your analytics online with the ease and power of the Splunk Web Framework
- Learning analytics explained
- Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models
- Learning data mining with Python : use Python to manipulate data and build predictive models
- Learning data mining with R : develop key skills and techniques with R to create and customize data mining algorithms
- Learning social media analytics with R : transform data from social media platforms into actionable insights
- Lessons from becoming a data-driven organization
- Machine Learning mit Python : das Praxis-Handbuch für Data Science, Predictive Analytics und Deep Learning
- Machine Learning mit Python und Scikit-learn und TensorFlow : das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics
- Machine learning and data science : an introduction to statistical learning methods with R
- Making sense of data : a practical guide to exploratory data analysis and data mining
- Making sense of data I : a practical guide to exploratory data analysis and data mining
- Making sense of data II : a practical guide to data visualization, advanced data mining methods, and applications
- Marketing data science : modeling techniques in predictive analytics with R and Python
- Mastering Apache spark : gain expertise in processing and storing data by using advanced techniques with Apache Spark
- Mastering Java for data science : building data science applications in Java
- Mastering Python Data Analysis
- Mastering Python for data science : explore the world of data science through Python and learn how to make sense of data
- Mastering Qlik Sense
- Mastering Qlik Sense : expert techniques on self-service data analytics to create enterprise ready business intelligence solutions
- Mastering Spark for data science
- Mastering Splunk : optimize your machine-generated data effectively by developing advanced analytics with Splunk
- Mastering data mining with Python : find patterns hidden in your data : learn how to create more powerful data mining applications with this comprehensive Python guide to advance data analytics techniques
- Mastering data-intensive collaboration and decision making : research and practical applications in the Dicode Project
- Mastering machine learning with Python in six steps : a practical implementation guide to predictive data analytics using Python
- Mastering social media mining with Python : acquire and analyze data from all corners of the social web with Python
- Mastering social media mining with R : extract valuable data from social media sites and make better business decisions using R
- Mastering text mining with R : master text-taming techniques and build effective text-processing applications with R
- Mastering the SAS DS2 Procedure : Advanced Data-Wrangling Techniques, Second Edition
- Mastering the SAS DS2 procedure : advanced data wrangling techniques
- Meta-analytics : consensus approaches and system patterns for data analysis
- Microsoft Azure machine learning : explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks
- Microsoft Dynamics CRM 2011 cookbook : includes over 75 incredible recipes for deploying, configuring, and customizing your CRM application
- Microsoft Excel Pivot-Tabellen : das Praxisbuch : Ideen und Lösungen für die Datenanalyse mit PivotTables und PivotCharts mit intensivem Einstieg in Power Pivot für Version 2010, 2013 und 2016
- Microsoft log parser toolkit
- Microsoft® business intelligence tools for Excel® analysts
- Mind genomics : a guide to data-driven marketing strategy
- Mining of massive datasets
- Mining the biomedical literature
- Mining the social web
- Mining the social web
- Mining the talk : unlocking the business value in unstructured information
- Modeling techniques in predictive analytics : business problems and solutions with R
- Modern analytics methodologies : driving business value with analytics
- Mondrian in action : open source business analytics
- Monetizing data management : unlocking the value in your organization's most important asset
- Monitoring with Ganglia
- Naive Bayes algorithm for Twitter sentiment analysis and its implementation in MapReduce
- Neural Network Programming with TensorFlow
- Oracle Information integration, migration, and consolidation : the definitive guide to information integration and migration in a heterogeneous world : use Oracle technologies and best practices to manage, maintain, migrate, and mobilize data
- Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python
- Pentaho 3.2 data integration : beginner's guide : explore, transform, validate, and integrate your data with ease
- Pentaho Analytics for MongoDB : combine Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions
- Pentaho Analytics for MongoDB cookbook : over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions
- Pentaho for Big Data Analytics
- Pentaho solutions : business intelligence and data warehousing with Pentaho and MySQL
- Practical Data Wrangling
- Practical Web Scraping for Data Science : Best Practices and Examples with Python
- Practical data analysis and reporting with BIRT : use the open-source Eclipse-based business intelligence and reporting tools system to design and create reports as quickly as possible
- Practical data science cookbook : 89 hands-on recipes to help you complete real-world data science projects in R and Python
- Practical data science with R
- Practical real-time data processing and analytics : distributed computing and event processing using Apache Spark, Flink, Storm, and Kafka
- Practical text mining and statistical analysis for non-structured text data applications
- Praxiseinstieg Machine Learning mit Scikit-Learn und TensorFlow : Konzepte, Tools und Techniken für intelligente Systeme
- Predictive Analytics For Dummies
- Predictive analytics and data mining : concepts and practice with RapidMiner
- Predictive analytics for dummies
- Predictive analytics with TensorFlow : implement deep learning principles to predict valuable insights using TensorFlow
- Predictive modeling with SAS Enterprise Miner : practical solutions for business applications
- Predictive modeling with SAS Enterprise Miner : practical solutions for business applications, second edition
- Principles of data science : learn the techniques and math you need to start making sense of your data
- Principles of data wrangling : practical techniques for data preparation
- Pro Salesforce analytics cloud : a guide to Wave Platform, Builder, and Explorer
- Proceedings
- Proceedings
- Proceedings ... ICDM workshops
- Proceedings 2011 First International Workshop on Complexity and Data Mining : IWCDM 2011 : 24-28 September 2011, Nanjing, Jiangsu, China
- Proceedings : Second International Workshop on Knowledge Discovery and Data Mining : Moscow, Russia, 23-25 January 2009
- Proceedings of the ... International Conference on Advances in Social Network Analysis and Mining
- Proceedings of the ... SIAM International Conference on Data Mining
- Proceedings of the 2003 IEEE Systems and Information Engineering Design Symposium : 24-25 April, 2003, University of Virginia, Charlottesville, VA
- Proceedings of the 2004 International Conference on Machine Learning and Applications : (ICMLA '04) : Thursday 16 December-Saturday 18 December, 2004, Louisville, Kentucky, USA
- Proceedings of the 2009 6th IEEE International Working Conference on Mining Software Repositories (MSR 2009) : May 16-17, 2009, Vancouver, BC, Canada
- Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining : 20-22 July 2009, Athens, Greece
- Proceedings of the 2009 Second Pacific-Asia Conference on Web Mining and Web-Based Application : Wuhan, China, June 6-7, 2009
- Proceedings of the 2010 7th IEEE Working Conference on Mining Software Repositories : co-located with ICSE 2010, May 2-3, 2010, Cape Town, South Africa : MSR 2010, mining software repositories
- Proceedings of the Seventh IEEE International Conference on Data Mining : ICDM 2007 : 28-31 October, 2007, Omaha, Nebraska
- Proceedings, 15th International Workshop on Research Issues on Data Engineering : stream data mining and applications : RIDE-SDMA 2005 : 3-4 April 2005, Tokyo, Japan
- Programmatic advertising : the successful transformation to automated, data-driven marketing in real-time
- Project management analytics : a data-driven approach to making rational and effective project decisions
- Python companion to data science : collect - organize - explore - predict - value
- Python data analytics : data analysis and science using Pandas, matplotlib, and the Python programming language
- Python data science handbook : essential tools for working with data
- Python for data analysis
- Python for data analysis
- Python for data analysis : data wrangling with Pandas, NumPy, and IPython
- Qlik Sense: : Advanced Data Visualization for Your Organization
- R : mining spatial, text, web, and social media data : create and customize data mioning algorithms : a course in three modules
- R : predictive analysis : master the art of predictive modeling
- R Deep learning essentials : build automatic classification and prediction models using unsupervised learning
- R data science essentials : learn the essence of data science and visualization using R in no time at all
- R deep learning projects : master the techniques to design and develop neural network models in R
- R machine learning by example : understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
- RapidMiner : data mining use cases and business analytics applications
- Real user measurements : why the last mile is the relevant mile
- Real-time analytics : techniques to analyze and visualize streaming data
- Real-time big data analytics : design, process, and analyze large sets of complex data in real time
- Real-time big data analytics : emerging architecture
- Real-world data mining : applied business analytics and decision making
- Reality mining : using big data to engineer a better world
- SAS Viya : the Python perspective
- SEDM 2010 : the 2nd International Conference on Software Engineering and Data Mining : Chengdu, China, 23-25 June 2010
- SIGKDD explorations : newsletter of the Special Interest Group on Knowledge Discovery and Data Mining
- SQL server analysis services 2012 cube development cookbook : more than 100 recipes to develop business intelligence solutions using analysis services
- Sams teach yourself : big data analytics with Microsoft HDInsight in 24 hours
- Scala and Spark for big data analytics : tame big data with Scala and Apache Spark!
- Scala for Data Science
- Scaling big data with Hadoop and Solr : learn exciting new ways to build efficient, high performance enterprise search repositories for Big Data using Hadoop and Solr
- Segmentation and lifetime value models using SAS
- Semi-supervised and unsupervised machine learning : novel strategies
- Simulation for data science with R : harness actionable insights from your data with computational statistics and simulations using R
- Sixth IEEE International Conference on Data Mining : ICDM 2006 : proceedings :18-22 December, 2006, Hong Kong
- Social CRM : market research
- Social Network Analysis for Startups : Finding connections on the social web
- Social media analytics : techniques and insights for extracting business value out of social media
- Social media data mining and analytics
- Social media mining with R : deploy cutting-edge sentiment analysis techniques to real-world social media data using R
- Social sensing : building reliable systems on unreliable data
- Spark for data science : analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0
- Spark, the definitive guide : big data processing made simple
- Splunk : enterprise operational intelligence delivered : demystify big data and discover how to bring operational intelligence to your data to revolutionize your work
- Splunk Essentials - Second Edition
- Splunk best practices : design, implement, and publish custom Splunk applications by following best practices
- Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise
- Strata Data Conference : London, UK 2018
- TENCON 2006 : 2006 IEEE Region 10 Conference : Hong Kong, China, 14-17 November 2006
- TENCON 2008-2008 IEEE Region 10 Conference : date: 19-21 Nov. 2008
- TENCON 2009, 2009 IEEE Region 10 Conference : 23-26 November 2009, Singapore
- Tableau data visualization cookbook
- Talend for Big Data
- Taming the Big Data Tidal Wave : Finding Opportunities in Huge Data Streams with Advanced Analytics
- Tapping into unstructured data : integrating unstructured data and textual analytics into business intelligence
- Temporal Data Mining via Unsupervised Ensemble Learning
- TensorFlow 1.x Deep Learning Cookbook
- TensorFlow : powerful predictive analytics with TensorFlow : predict valuable insights of your data with TensorFlow
- Teradata Aster Data
- Text analytics with Python : a practical real-world approach to gaining actionable insights from your data
- Text mining and analysis : practical methods, examples, and case studies using SAS
- Text mining for qualitative data analysis in the social sciences : a study on democratic discourse in Germany
- Text mining with R : a tidy approach
- The DS2 procedure : SAS programming methods at work
- The Eighth International Conference on Machine Learning and Applications : proceedings : Miami Beach, Florida : 13-15 December 2009
- The Excel analyst's guide to Access
- The Ninth IEEE International Conference on Data Mining : proceedings : Miami, Florida, 6-9 December, 2009
- The analytical puzzle : profitable data warehousing, business intelligence and analytics
- The art and science of analyzing software data
- The data journalism handbook
- The silicon jungle : a novel of deception, power, and Internet intrigue
- Think like a data scientist : tackle the data science process step-by-step
- Thinking with data
- Third IEEE International Conference on Data Mining : proceedings : ICDM 2003 : 19-22 November, 2003, Melbourne, Florida
- Third International Symposium on Information Processing : ISIP 2010, 12-14 November 2010, Qingdao, China
- Third International Workshop on Knowledge Discovery and Data Mining : proceedings : 9-10 January 2010, Phuket, Thailand
- Tika in action
- Understanding big data scalability, Part 1,
- Unsupervised learning with R : work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data
- Using JMP 11
- Using JMP 12
- Using OpenRefine : the essential OpenRefine guide that takes you from data analysis and error fixing to linking your dataset to the Web
- Visual business analytics : effektiver Zugang zu Daten und Informationem
- Visual business analytics : effektiver Zugang zu Daten und Informationen
- Visual data mining : the VisMiner approach
- WISM 2009 : 2009 International Conference on Web Information Systems and Mining : 7-8 November 2009, Shanghai, China
- WKDD 2008 : First International Workshop on Knowledge Discovery and Data Mining : proceedings : Adelaide, Australia, 23-24 January, 2008
- Web and network data science : modeling techniques in predictive analytics
- Web metrics for library and information professionals
- Web scraping with Python : collecting data from the modern web
- Web scraping with Python : collecting more data from the modern web
- Web-age information management : WAIM 2013 International Workshops : HardBD, MDSP, BigEM, TMSN, LQPM, BDMS, Beidaihe, China, June 14-16, 2013 : proceedings
- Wiley interdisciplinary reviews, Data mining and knowledge discovery
- Winning with data : transform your culture, empower your people, and shape the future
- Working with text : tools, techniques and approaches for text mining
- Zwinna analiza danych : Apache Hadoop dla każdego
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/Cf6wXJq4Xpg/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/Cf6wXJq4Xpg/">Data mining</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/Cf6wXJq4Xpg/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/Cf6wXJq4Xpg/">Data mining</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
