文档介绍：Handbook of
Educational Data Mining
Chapman & Hall/CRC
Data Mining and Knowledge Discovery Series
SERIES EDITOR
Vipin Kumar
University of Minnesota
Department puter Science and Engineering
Minneapolis, Minnesota,
AIMS AND SCOPE
This series aims to capture new developments and applications in data mining and knowledge
discovery, while summarizing putational tools and techniques useful in data analysis. This
series encourages the integration of mathematical, statistical, putational methods and
techniques through the publication of a broad range of textbooks, reference works, and hand-
books. The inclusion of concrete examples and applications is highly encouraged. The scope of the
series includes, but is not limited to, titles in the areas of data mining and knowledge discovery
methods and applications, modeling, algorithms, theory and foundations, data and knowledge
visualization, data mining systems and tools, and privacy and security issues.
PUBLISHED TITLES
PLEX DATASETS: TEXT MINING: CLASSIFICATION, CLUSTERING,
DATA MINING WITH MATRIX POSITIONS AND APPLICATIONS
David Skillicorn Ashok N. Srivastava and Mehran Sahami
COMPUTATIONAL METHODS OF FEATURE BIOLOGICAL DATA MINING
SELECTION Jake Y. Chen and Stefano Lonardi
Huan Liu and Hiroshi Motoda
INFORMATION DISCOVERY ON ELECTRONIC
CONSTRAINED CLUSTERING: ADVANCES IN HEALTH RECORDS
ALGORITHMS, THEORY, AND APPLICATIONS Vagelis Hristidis
Sugato Basu, Ian Davidson, and Kiri L. Wagstaff
TEMPORAL DATA MINING
KNOWLEDGE DISCOVERY FOR Theophano Mitsa
COUNTERTERRORISM AND LAW ENFORCEMENT
David Skillicorn RELATIONAL DATA CLUSTERING: MODELS,
ALGORITHMS, AND APPLICATIONS
MULTIMEDIA DATA MINING: A SYSTEMATIC Bo Long, Zhongfei Zhang, and Philip S. Yu
INTRODUCTION TO CONCEPTS AND THEORY
Zhongfei Zhang and Ruofei Zhang KNOWLEDGE DISCOVERY FROM DATA STREAMS
João Gama
NEXT GENERATION OF DATA MINING
Hillol Kargupta, Jiawei Han, Philip S. Yu, STATISTICAL DATA MINING