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Frequent Pattern Mining / edited by Charu C. Aggarwal, Jiawei Han.
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Language:
- English
- Subjects (All):
- Data mining.
- Database management.
- Artificial intelligence.
- Pattern perception.
- Biometry.
- Data Mining and Knowledge Discovery.
- Database Management.
- Artificial Intelligence.
- Pattern Recognition.
- Biometrics.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Database Management.
- Artificial Intelligence.
- Pattern Recognition.
- Biometrics.
- Physical Description:
- 1 online resource (XIX, 471 pages) : 83 illustrations, 19 illustrations in color
- Edition:
- First edition 2014.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2014.
- System Details:
- text file PDF
- Summary:
- This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.
- Contents:
- An Introduction to Frequent Pattern Mining
- Frequent Pattern Mining Algorithms: A Survey
- Pattern-growth Methods
- Mining Long Patterns
- Interesting Patterns
- Negative Association Rules
- Constraint-based Pattern Mining
- Mining and Using Sets of Patterns through Compression
- Frequent Pattern Mining in Data Streams
- Big Data Frequent Pattern Mining
- Sequential Pattern Mining
- Spatiotemporal Pattern Mining: Algorithms and Applications
- Mining Graph Patterns
- Uncertain Frequent Pattern Mining
- Privacy in Association Rule Mining
- Frequent Pattern Mining Algorithms for Data Clustering
- Supervised Pattern Mining and Applications to Classification
- Applications of Frequent Pattern Mining.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-07821-2
- 9783319078212
- Access Restriction:
- Restricted for use by site license.
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