Data mining
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The concept Data mining represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
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Data mining
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The concept Data mining represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
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- 2015 IEEE 1st International Workshop on Software Analytics (SWAN)
- A Data Science Approach to Extracting Insights About Cities and Zones Using Open Government Data
- A Python data analyst's toolkit : learn Python and Python-based libraries with applications in data analysis and statistics
- A data mining study of g-quadruplexes and their effect on DNA replication
- A data mining study of ranking within social networks
- A data-driven approach to customer relationships : a case study of Nedbank's data practices in South Africa
- A graph analytics framework for knowledge discovery
- A guide to improving data integrity and adoption : a case study in verifying usage data
- A new adaptive framework for collaborative filtering prediction
- A practical guide to data mining for business and industry
- A whirlwind tour of Python
- AI and analytics in production : how to make it work
- Accelerating discovery : mining unstructured information for hypothesis generation
- Actionable web analytics : using data to make smart business decisions
- Active mining : new directions of data mining
- Adaptive stream mining : pattern learning and mining from evolving data streams
- Adaptive web sites : a knowledge extraction from web data approach
- Advanced Jupyter Notebook development : deployment and customization of notebooks, tmpnb, nbviewer and JupyterHub
- Advanced agent technology : AAMAS 2011 Workshops, AMPLE, AOSE, ARMS, DOCM3AS, ITMAS, Taipei, Taiwan, May 2-6, 2011. Revised selected papers
- Advanced analytics and real-time data processing in Apache Spark
- Advanced data analytics using Python : with machine learning, deep learning and NLP examples
- Advanced data mining and applications : 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, proceedings, Part I
- Advanced data mining and applications : 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, proceedings, Part II
- Advanced data mining technologies in bioinformatics
- Advanced methods for knowledge discovery from complex data
- Advanced statistics and data mining for data science
- Advanced techniques for knowledge engineering and innovative applications : 16th International Conference, KES 2012, San Sebastian, Spain, September 10-12, 2012, revised selected papers
- Advanced techniques in knowledge discovery and data mining
- Advances in Computational Algorithms and Data Analysis
- Advances in K-means clustering : a data mining thinking
- Advances in data mining : applications in E-commerce, medicine, and knowledge management
- Advances in data mining : applications in E-commerce, medicine, and knowledge management
- Advances in digital forensics VII : 7th IFIP WG 11.9 International Conference on Digital Forensics, Orlando, FL, USA, January 31 -February 2, 2011 : revised selected papers
- Advances in intelligent data analysis X : 10th international symposium, IDA 2011, Porto, Portugal, October 29-31, 2011 : proceedings
- Advances in mass data analysis of images and signals in medicine, biotechnology, chemistry, and food industry : Third International Conference, MDA 2008 Leipzig, Germany, July 14, 2008 : proceedings
- Advances in neural networks-- ISNN 2014 : 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28- December 1, 2014 : proceedings
- Advances in nonlinear speech processing : 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Las Palmas de Gran Canaria, Spain, November 7-9, 2011, proceedings
- Advances in social media analysis
- Agent intelligence through data mining
- Agent intelligence through data mining
- Agents and data mining interaction : 7th international workshop, ADMI 2011, Taipei, Taiwan, May 2-6, 2011 : revised selected papers
- Agile data science
- Agile data science 2.0 : building full-stack data analytics applications with Spark
- An introduction to data science
- An introduction to support vector machines : and other kernel-based learning methods
- An introduction to text mining : research design, data collection, and analysis
- An overview of ARL's multimodal signatures database and web interface
- Analiza danych w bizenesie : Sztuka podejmowania skutecznych decyzji
- Analysis of rare categories
- Analysis of symbolic data : exploratory methods for extracting statistical information from complex data
- Analyzing big data with Hadoop, AWS, and EMR : understanding how to use Hadoop on Amazon's Elastic MapReduce Service
- Analyzing big data with Spark and Amazon EMR : learning to harness the power of cloud computing to analyze big data when you don't have a cluster of your own
- Analyzing data in the Internet of Things : a collection of talks from Strata + Hadoop World 2015
- Analyzing data using Spark 2.0 DataFrames with Python : learning the basics of Python and Spark DataFrames, and how they work with big data
- Apache Spark 2 data processing and real-time analytics : master complex big data processing, stream analytics, and machine learning with Apache
- Apache Spark 2.0
- Apache Spark for Data Science Cookbook
- Apache Spark for data science cookbook : overinsightful 90 recipes to get lightning-fast analytics with Apache Spark
- Apache Spark with Python : big data with PySpark and Spark
- Apache Spark with Scala
- Apache Spark with Scala : learn Spark from a big data guru
- Applications of data mining in computer security
- Applied Data Mining
- Applied Data Science Workshop - Second Edition
- Applied data mining : statistical methods for business and industry
- Applied data mining for business analytics
- Applied data mining for business and industry
- Applied data mining for forecasting using SAS
- Applied unsupervised learning with R
- Applying text timing in corporate spin-off disclosure statement analysis: understanding the main concerns and recommendation of appropriate term weights
- Architectural considerations for Hadoop applications : using clickstream analytics as an end-to-end example
- 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++
- Association rule mining : models and algorithms
- Association rule mining in cooperative research
- Automatic detection of irony : opinion mining in microblogs and social media
- Automating the design of data mining algorithms : an evolutionary computation approach
- Automating the design of data mining algorithms : an evolutionary computation approach
- Automation of nuclear fuel pellet inspection using machine vision
- Automation of nuclear fuel pellet inspection using machine vision
- Avro data
- Azure masterclass : Docker containers in the cloud with AWS ECS
- Azure masterclass : analyze data with Azure Stream Analytics
- Azure masterclass : manage Azure cloud with ARM templates
- Badanie danych Raport z pierwszej linii działań
- Bankruption : how community banking can survive fintech
- Basic statistics and data mining for data science
- Become a Python data analyst
- Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python
- Beginning data analysis with Python and Jupyter : use powerful industry-standard tools to unlock new, actionable insight from your existing data
- Beginning data analytics with RapidMiner : understanding core analytical methods and how to use them in RapidMiner
- Behind every good decision : how anyone can use business analytics to turn data into profitable insight
- Benchmark development for the evaluation of visualization for data mining
- Better intelligence from the new Google trends
- Beyond Spreadsheets with R
- 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 For Dummies
- 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 revolution : what farmers, doctors and insurance agents teach us about discovering Big Data patterns
- Big Data, Mining, and Analytics : Components of Strategic Decision Making
- Big crisis data : social media in disasters and time-critical situations
- Big data : algorithms, analytics, and applications
- Big data : algorithms, analytics, and applications
- Big data : principles and best practices of scalable real-time data systems
- Big data : related technologies, challenges and future prospects
- Big data : video edition
- Big data @ work : dispelling the myths, uncovering the opportunities
- Big data MBA : driving business strategies with data science
- Big data analysis : new algorithms for a new society
- Big data analytics
- Big data analytics : a practical guide for managers
- Big data analytics : turning big data into big money
- 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 beyond hadoop : real-time applications with storm, spark, and more hadoop alternatives
- Big data analytics for intelligent healthcare management
- Big data analytics for intelligent healthcare management
- Big data analytics using Apache Spark
- Big data analytics using Splunk
- Big data analytics with Java : big data analytics - massive, predictive, social and self-driving
- 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 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 and business analytics
- Big data application architecture Q & A : a problem-solution approach
- Big data benchmarks, performance optimization, and emerging hardware : 4th and 5th Workshops, BPOE 2014, Salt Lake City, USA, March 1, 2014 and Hangzhou, China, September 5, 2014 : revised selected papers
- Big data computing
- Big data demystified : how to use big data, data science and AI to make better business decisions and gain competitive advantage
- Big data driven supply chain management : a framework for implementing analytics and turning information into intelligence
- Big data for chimps : a guide to massive-scale data processing in practice
- Big data fundamentals : concepts, drivers & techniques
- Big data fundamentals : concepts, drivers & techniques
- Big data imperatives : enterprise big data warehouse, BI implementations and analytics
- Big data in cognitive science
- Big data in context : legal, social and technological insights
- Big data now : 2014 edition : current perspectives from O'Reilly Media
- Big data now : 2015 edition : current perspectives from O'Reilly Media
- Big data now : 2016 edition : current perspectives from O'Reilly Media
- 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, 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
- Big data, data mining, and machine learning : value creation for business leaders and practitioners
- Big data, open data and data development
- Biological data mining in protein interaction networks
- Biomedical literature mining
- Biomedical literature mining
- Biometric system and data analysis : design, evaluation, and data mining
- Biometric system and data analysis : design, evaluation, and data mining
- Biostatistics Using JMP
- Bisociative knowledge discovery : an introduction to concept, algorithms, tools, and applications
- Boosted statistical relational learners : from benchmarks to data-driven medicine
- 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 Twitter bot with Python and Tweepy : Python project
- Building a big data analytics stack
- Building a data mart with Pentaho data integration
- Building an intelligent Web : theory and practice
- Building an intelligent Web : theory and practice
- Building better distributed data pipelines
- Building cognitive applications with IBM Watson services, Volume 1, Getting started
- Building data pipelines with Python : understanding pipeline frameworks, workflow automation, and Python toolsets
- Building pipelines for natural language understanding with Spark : a hands-on guide to machine learning annotators, topic modeling, and deep learning for text mining
- Building the data-driven organization
- Business Intelligence und Reporting mit Microsoft SQL Server 2008 : OLAP, data mining, analysis services, reporting services und integration services mit SQL Server 2008
- Business information : finding and using data in the digital age
- Business intelligence : making decisions through data analytics
- Child data citizen : how tech companies are profiling us from before birth
- Citizen in sensor networks : second international workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, revised selected papers
- Classification and data mining
- Clinical text mining : secondary use of electronic patient records
- Cloudera Impala
- Cluster analysis for data mining and system identification
- Cluster analysis for data mining and system identification / János Abonyi, Balázs Feil
- Clustering : a data recovery approach
- Clustering and information retrieval
- Clustering in relational data and ontologies
- Collective intelligence in action
- Coming to grips with dangerous algorithms : algorithms power transformative technology but also present many threats to users - which raises the question of how to prevent and regulate against potential disaster
- Commercial data mining : processing, analysis and modeling for predictive analytics projects
- Commercial data mining : processing, analysis and modeling for predictive analytics projects
- Communicating data with Tableau
- Competing on analytics : the new science of winning
- Complex networks : second international workshop, CompleNet 2010, Rio de Janeiro, Brazil, October 13-15, 2010, Revised selected papers
- Compression schemes for mining large datasets : a machine learning perspective
- Computation, causation, and discovery
- Computational Intelligent Data Analysis for Sustainable Development
- Computational analysis of terrorist groups : Lashkar-e-Taiba
- Computational complexity : theory, techniques, and applications
- Computational framework for knowledge : integrated behavior of machines
- Computational medicine in data mining and modeling
- Computational methods of feature selection
- Computational movement analysis
- Computational social networks : tools, perspectives and applications
- Computer science for environmental engineering and ecoinformatics : International Workshop, CSEEE 2011, Kunming, China, July 20-31, 2011, proceedings
- Computer vision/computer graphics collaboration techniques : 5th International Conference, MIRAGE 2011, Rocquencourt, France, October 10-11, 2011, proceedings
- Computing with spatial trajectories
- Computing with spatial trajectories
- Contemporary research methods and data analytics in the news industry
- Content extraction, analysis, and retrieval for plant visual traits studies
- Contrast data mining : concepts, algorithms, and applications
- Convergence and hybrid information technology : 5th International Conference, ICHIT 2011, Daejeon, Korea, September 22-24, 2011, proceedings
- Coolhunting : chasing down the next big thing
- Core concepts in data analysis : summarization, correlation and visualization
- Cost-Based Pricing
- Counterterrorism and cybersecurity : total information awareness
- Counterterrorism and cybersecurity : total information awareness
- Cracking the data science interview : what to expect and how to succeed
- Creating a culture of data-driven business
- Critical infrastructure protection and the Domain Name Service (DNS) system
- Crowdsourcing geographic knowledge : volunteered geographic information (VGI) in theory and practice
- Customer analytics for dummies
- Customer analytics for dummies
- Customer and business analytics : applied data mining for business decision making using R
- Customer segmentation and clustering using SAS Enterprise Miner
- Customer segmentation and clustering using SAS Enterprise miner
- DB2 10.5 with BLU Acceleration : new dynamic in-memory analytics for the era of big data
- Dark Web : exploring and data mining the dark side of the web
- Dark web : exploring and data mining the dark side of the web
- Dark web : exploring and data mining the dark side of the web
- Data Analysis and Applications 1
- Data Analysis in the Cloud : Models, Techniques and Applications
- Data Jujitsu
- Data Mining and Machine Learning in Cybersecurity
- Data Mining mit Microsoft SQL Server : Analyse und Mustererkennung in Daten mit Excel 2007 und SQL Server 2005/2008
- Data Mining, 2nd Edition
- Data Science : Grundlagen, Architekturen und Anwendungen
- Data Science Programming All-In-One for Dummies
- Data Science für Unternehmen : Data Mining und datenanalytisches Denken praktisch anwenden
- Data Science mit Python : das Handbuch für den Einsatz von IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit-Learn
- Data Science, 2nd Edition
- Data Wrangling Workshop - Second Edition
- Data analysis and applications 3 : computational, classification, financial, statistical and stochastic methods
- Data analysis and data mining : an Introduction
- Data analysis and decision support
- Data analysis and decision support
- Data analysis and visualization using Python : analyze data to create visualizations for BI systems
- Data analysis on streams
- Data analysis using SQL and Excel
- Data analysis with Python
- Data analytics : models and algorithms for intelligent data analysis
- Data analytics for corporate debt markets : using data for investing, trading, capital markets, and portfolio management
- Data analytics using Spark and Hadoop : learn how to integrate Spark and Hadoop in a series of hands-on labs
- Data and text mining : a business applications approach
- Data bootcamp
- Data clustering : algorithms and applications
- Data clustering : algorithms and applications
- Data driven : creating a data culture
- Data engineering : mining, information and intelligence
- Data infrastructure for next-gen finance
- Data infrastructure for next-gen finance : tools for cloud migration, customer even hubs, governance & security
- Data integration in the life sciences : proceedings
- Data just right : introduction to large-scale data & analytics
- Data just right LiveLessons
- Data marketplaces
- Data matching : concepts and techniques for record linkage, entity resolution, and duplicate detection
- Data mining : a heuristic approach
- Data mining : a knowledge discovery approach
- Data mining : a knowledge discovery approach
- Data mining : an overview
- Data mining : concepts and techniques
- Data mining : concepts and techniques
- Data mining : concepts and techniques
- Data mining : concepts and techniques
- Data mining : concepts, models, methods, and algorithms
- Data mining : know it all
- Data mining : know it all
- Data mining : multimedia, soft computing, and bioinformatics
- Data mining : next generation challenges and future directions
- Data mining : opportunities and challenges
- Data mining : practical machine learning tools and techniques
- Data mining : practical machine learning tools and techniques
- Data mining : practical machine learning tools and techniques
- Data mining : special issue in Annals of information systems
- Data mining : technologies, techniques, tools, and trends
- Data mining : theories, algorithms, and examples
- Data mining : theory, methodology, techniques, and applications
- Data mining : theory, methodology, techniques, and applications
- Data mining algorithms in C++ : data patterns and algorithms for modern applications
- Data mining and applications in genomics
- Data mining and applications in genomics
- Data mining and computational intelligence
- Data mining and data warehousing
- Data mining and decision support : integration and collaboration
- Data mining and diagnosing IC fails
- Data mining and homeland security : an overview
- Data mining and knowledge discovery approaches based on rule induction techniques
- Data mining and knowledge discovery for big data : methodologies, challenge and opportunities
- Data mining and knowledge discovery for geoscientists
- Data mining and knowledge discovery for process monitoring and control
- Data mining and knowledge discovery handbook
- Data mining and knowledge discovery via logic-based methods : theory, algorithms, and applications
- Data mining and knowledge discovery via logic-based methods : theory, algorithms, and applications
- Data mining and knowledge discovery with evolutionary algorithms
- Data mining and learning analytics : applications in educational research
- Data mining and learning analytics : applications in educational research
- Data mining and learning analytics : applications in educational research
- Data mining and multi-agent integration
- Data mining and predictive analysis : intelligence gathering and crime analysis
- Data mining and predictive analytics
- Data mining and predictive analytics
- Data mining and statistical analysis of completions in the Canadian Montney formation
- Data mining and statistical analysis using SQL
- Data mining and uncertain reasoning : an integrated approach
- Data mining applications using artificial adaptive systems
- Data mining extension for economics
- Data mining for association rules and sequential patterns : sequential and parallel algorithms
- Data mining for bioinformatics
- Data mining for biomarker discovery
- Data mining for business applications
- Data mining for business intelligence : concepts, techniques, and applications in Microsoft Office Excel with XLMiner
- Data mining for design and manufacturing : methods and applications
- Data mining for dummies
- Data mining for genomics and proteomics : analysis of gene and protein expression data
- Data mining for geoinformatics : methods and applications
- Data mining for scientific and engineering applications
- Data mining for systems biology : methods and protocols
- Data mining for systems biology : methods and protocols
- Data mining for the social sciences : an introduction
- Data mining in agriculture
- Data mining in bioinformatics
- Data mining in bioinformatics
- Data mining in biomedicine using ontologies
- Data mining in crystallography
- Data mining in crystallography
- Data mining in finance : advances in relational and hybrid methods
- Data mining in large sets of complex data
- Data mining in proteomics : from standards to applications
- Data mining in time series databases
- Data mining introductory and advanced topics
- Data mining methods and models
- Data mining methods for knowledge discovery
- Data mining methods for the content analyst : an introduction to the computational analysis of content
- Data mining methods for the content analyst : an introduction to the computational analysis of content
- Data mining mobile devices
- Data mining on multimedia data
- Data mining techniques : for marketing, sales, and customer relationship management
- Data mining techniques : for marketing, sales, and customer relationship management
- Data mining techniques for the life sciences
- Data mining techniques for the life sciences
- Data mining techniques in CRM : inside customer segmentation
- Data mining techniques in grid computing environments
- Data mining techniques in sensor networks : summarization, interpolation and surveillance
- Data mining with Microsoft SQL server 2008
- Data mining with Rattle and R : the art of excavating data for knowledge discovery
- Data mining with Rattle and R : the art of excavating data for knowledge discovery
- Data mining with computational intelligence
- Data mining with computational intelligence
- Data mining with decision trees : theory and applications
- Data mining your website