Data Mining: Concepts and Techniques

E566635

Data Mining: Concepts and Techniques is a widely used academic textbook that systematically introduces the principles, algorithms, and practical methods of data mining and knowledge discovery from large datasets.

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Data Mining: Concepts and Techniques canonical 5

Statements (51)

Predicate Object
instanceOf academic textbook
computer science textbook
non-fiction book
author Jian Pei NERFINISHED
Jiawei Han NERFINISHED
Micheline Kamber NERFINISHED
countryOfPublication United States of America
surface form: United States
feature algorithm pseudocode
case studies
exercises at the end of chapters
worked examples
field data mining
database systems
knowledge discovery in databases
machine learning
firstEditionPublicationYear 2000
hasEdition first edition of Data Mining: Concepts and Techniques
second edition of Data Mining: Concepts and Techniques
third edition of Data Mining: Concepts and Techniques
intendedAudience data mining practitioners
graduate students
researchers
undergraduate students
language English
publisher Morgan Kaufmann NERFINISHED
secondEditionPublicationYear 2006
structure chapters on advanced topics and applications
chapters on data preprocessing and data warehousing
chapters on major data mining tasks
introductory chapters on data mining concepts
thirdEditionPublicationYear 2011
topic OLAP
association rule mining
classification
cluster analysis
data cube technology
data mining applications
data mining methodologies
data preprocessing
data warehousing
frequent pattern mining
outlier detection
prediction
spatial data mining
text mining
web mining
usedAs university course textbook
usesAlgorithmType association analysis algorithms
classification algorithms
clustering algorithms
outlier detection algorithms

Referenced by (5)

Full triples — surface form annotated when it differs from this entity's canonical label.

Jeffrey D. Ullman notableWork Data Mining: Concepts and Techniques
Jiawei Han notableWork Data Mining: Concepts and Techniques
Jiawei Han authorOf Data Mining: Concepts and Techniques
Xindong Wu notableWork Data Mining: Concepts and Techniques
Raghu Ramakrishnan notableWork Data Mining: Concepts and Techniques