A01=Guandong Xu
A01=Yu Zong
A01=Zhenglu Yang
Advanced Data Mining
advanced social media mining applications
algorithm
Association Rule
Association Rule Mining
Author_Guandong Xu
Author_Yu Zong
Author_Zhenglu Yang
bayesian
BN
Category=UNF
cation
classifi
Classifi Ers
classification models
cluster validation techniques
clustering
Clustering Algorithm
Clustering Result
Count Min Sketches
Data Mining
Data Sets
Data Stream Mining
data stream processing
Emerging Applications
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ers
Fi Ll
Frequent Itemsets
frequent pattern algorithms
Frequent Pattern Mining
Haar Wavelet
Haar Wavelet Transformation
Kernel Width
Kl Divergence
Local Minimum Points
Mathematical Foundations
network
privacy in data mining
Privacy Preserving Data Mining
recommender
Recommender Systems
Sequential Pattern Mining
social network analysis
Social Tagging Systems
subspace
Subspace Clustering
SVM
system
Tag Clustering
Web Clustering and Web Community
Product details
- ISBN 9781466585836
- Weight: 690g
- Dimensions: 156 x 234mm
- Publication Date: 17 Jun 2013
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas.
Dr. Guandong Xu , Centre for Applied Informatics, School of Engineering and Science, Victoria University, Australia
Prof. Yu Zong, Department of Information and Engineering, West Anhui University, China
Dr. Zhenglu Yang, Institute of Industrial Science, Tokyo, Japan
