Data mining: concepts and techniques
Data Mining: концепции и методы
2012-02-01
SCID: 54.1/ynxcqsyc
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data mininggraph-structured data miningpattern discovery in large data setssocial network data miningstream data mining
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Key Findings
1
Data generation and collection have grown explosively across business, science, and government, creating urgent need for automated data mining techniques.
2
The book includes dozens of algorithms and implementation examples in easily understood pseudo-code suitable for real-world, large-scale data mining projects.
3
The book presents concepts and techniques for discovering patterns in large datasets, emphasizing feasibility, usefulness, effectiveness, and scalability.
4
This new edition substantially enhances the first edition by adding chapters on mining complex data types: stream, sequence, graph-structured, social network, and multi-relational data.
5
Updates incorporate reader feedback, advances in the field, and increased material on statistics and machine learning, plus classroom support on a companion website.
Research Object
Large datasets (including stream, sequence, graph-structured, social network, and multi-relational data)
Research Subject
Concepts, techniques, algorithms and practical methods for discovering patterns, assessing feasibility, usefulness, effectiveness and scalability of data mining on large and complex data types
Publication Details
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2012-02-01
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