The Resource Core concepts in data analysis : summarization, correlation and visualization, Boris Mirkin
Core concepts in data analysis : summarization, correlation and visualization, Boris Mirkin
Resource Information
The item Core concepts in data analysis : summarization, correlation and visualization, Boris Mirkin represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Core concepts in data analysis : summarization, correlation and visualization, Boris Mirkin represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Summary
- Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule). Boris Mirkin takes an unconventional approach and introduces the concept of multivariate data summarization as a counterpart to conventional machine learning prediction schemes, utilizing techniques from statistics, data analysis, data mining, machine learning, computational intelligence, and information retrieval. Innovations following from his in-depth analysis of the models underlying summarization techniques are introduced, and applied to challenging issues such as the number of clusters, mixed scale data standardization, interpretation of the solutions, as well as relations between seemingly unrelated concepts: goodness-of-fit functions for classification trees and data standardization, spectral clustering and additive clustering, correlation and visualization of contingency data. The mathematical detail is encapsulated in the so-called "formulation" parts, whereas most material is delivered through "presentation" parts that explain the methods by applying them to small real-world data sets; concise "computation" parts inform of the algorithmic and coding issues. Four layers of active learning and self-study exercises are provided: worked examples, case studies, projects and questions.
- Language
- eng
- Extent
- 1 online resource (xx, 390 pages).
- Isbn
- 9780857292872
- Label
- Core concepts in data analysis : summarization, correlation and visualization
- Title
- Core concepts in data analysis
- Title remainder
- summarization, correlation and visualization
- Statement of responsibility
- Boris Mirkin
- Language
- eng
- Summary
- Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule). Boris Mirkin takes an unconventional approach and introduces the concept of multivariate data summarization as a counterpart to conventional machine learning prediction schemes, utilizing techniques from statistics, data analysis, data mining, machine learning, computational intelligence, and information retrieval. Innovations following from his in-depth analysis of the models underlying summarization techniques are introduced, and applied to challenging issues such as the number of clusters, mixed scale data standardization, interpretation of the solutions, as well as relations between seemingly unrelated concepts: goodness-of-fit functions for classification trees and data standardization, spectral clustering and additive clustering, correlation and visualization of contingency data. The mathematical detail is encapsulated in the so-called "formulation" parts, whereas most material is delivered through "presentation" parts that explain the methods by applying them to small real-world data sets; concise "computation" parts inform of the algorithmic and coding issues. Four layers of active learning and self-study exercises are provided: worked examples, case studies, projects and questions.
- Cataloging source
- GW5XE
- http://library.link/vocab/creatorName
- Mirkin, B. G.
- Dewey number
- 519.5/35
- Index
- index present
- LC call number
- QA276.4
- LC item number
- .M57 2011
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- Series statement
- Undergraduate topics in computer science
- http://library.link/vocab/subjectName
-
- Mathematical statistics
- Data mining
- Informatique
- Data mining
- Mathematical statistics
- Label
- Core concepts in data analysis : summarization, correlation and visualization, Boris Mirkin
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- 728098362
- Dimensions
- unknown
- Extent
- 1 online resource (xx, 390 pages).
- Form of item
- online
- Isbn
- 9780857292872
- Lccn
- 2011922052
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-0-85729-286-5
- Specific material designation
- remote
- System control number
- (OCoLC)728098362
- Label
- Core concepts in data analysis : summarization, correlation and visualization, Boris Mirkin
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- 728098362
- Dimensions
- unknown
- Extent
- 1 online resource (xx, 390 pages).
- Form of item
- online
- Isbn
- 9780857292872
- Lccn
- 2011922052
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-0-85729-286-5
- Specific material designation
- remote
- System control number
- (OCoLC)728098362
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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/portal/Core-concepts-in-data-analysis--summarization/XSAS6NgE5jE/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Core-concepts-in-data-analysis--summarization/XSAS6NgE5jE/">Core concepts in data analysis : summarization, correlation and visualization, Boris Mirkin</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>
