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Data Mining: Foundations and Practice 2008
- Tsau Young Lin, Ying Xie, Anita Wasilewska, Churn-Jung Liau:
Data Mining: Foundations and Practice. Studies in Computational Intelligence 118, Springer 2008, ISBN 978-3-540-78487-6 - Elena Baralis, Silvia Chiusano
, Riccardo Dutto, Luigi Mantellini:
Compact Representations of Sequential Classification Rules. 1-30 - Haiyun Bian, Raj Bhatnagar:
An Algorithm for Mining Weighted Dense Maximal 1-Complete Regions. 31-48 - Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Mining Linguistic Trends from Time Series. 49-60 - I-Jen Chiang, Tsau Young Lin, Ginni Hsiang-Chun Tsai, Jau-Min Wong, Xiaohua Hu:
Latent Semantic Space for Web Clustering. 61-77 - David Corney, Emma Byrne, Bernard F. Buxton, David Jones:
A Logical Framework for Template Creation and Information Extraction. 79-108 - Tuan-Fang Fan, Churn-Jung Liau
A Bipolar Interpretation of Fuzzy Decision Trees. 109-123 - Qing Shi Gao, Xiao Yu Gao, Lei Xu:
A Probability Theory Perspective on the Zadeh Fuzzy System. 125-137 - Jerzy W. Grzymala-Busse:
Three Approaches to Missing Attribute Values: A Rough Set Perspective. 139-152 - Jerzy W. Grzymala-Busse:
MLEM2 Rule Induction Algorithms: With and Without Merging Intervals. 153-164 - P. González-Aranda, Ernestina Menasalvas Ruiz
Towards a Methodology for Data Mining Project Development: The Importance of Abstraction. 165-178 - Tzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Vincent S. Tseng:
Fining Active Membership Functions in Fuzzy Data Mining. 179-196 - José Hernández Palancar, Raudel Hernández-León, José Eladio Medina-Pagola, Abdel Hechavarría Díaz:
A Compressed Vertical Binary Algorithm for Mining Frequent Patterns. 197-211 - Lawrence J. Mazlack:
Naïve Rules Do Not Consider Underlying Causality. 213-229 - Lawrence J. Mazlack:
Inexact Multiple-Grained Causal Complexes. 231-249 - Mykola Pechenizkiy
Does Relevance Matter to Data Mining Research?. 251-275 - Li-Shiang Tsay, Zbigniew W. Ras:
E-Action Rules. 277-288 - Zbigniew W. Ras, Li-Shiang Tsay:
Mining E-Action Rules, System DEAR. 289-298 - Jan Rauch:
Classes of Association Rules: An Overview. 315-337 - Gregor Stiglic
Knowledge Extraction from Microarray Datasets Using Combined Multiple Models to Predict Leukemia Types. 339-352 - Bhavani Thuraisingham:
On the Complexity of the Privacy Problem in Databases. 353-374 - Kari Torkkola, Eugene Tuv:
Ensembles of Least Squares Classifiers with Randomized Kernels. 375-386 - Shusaku Tsumoto:
On Pseudo-Statistical Independence in a Contingency Table. 387-403 - Shusaku Tsumoto:
Role of Sample Size and Determinants in Granularity of Contingency Matrix. 405-421 - Bob Wall, Neal Richter, Rafal A. Angryk
Generating Concept Hierarchies from User Queries. 423-441 - Yanbo J. Wang, Qin Xin, Frans Coenen
Mining Efficiently Significant Classification Association Rules. 443-467 - Anita Wasilewska, Ernestina Menasalvas Ruiz
Data Preprocessing and Data Mining as Generalization. 469-484 - Yiyu Yao, Ning Zhong, Yan Zhao:
A Conceptual Framework of Data Mining. 501-515 - Justin Zhijun Zhan, LiWu Chang, Stan Matwin
How to Prevent Private Data from being Disclosed to a Malicious Attacker. 517-528 - Justin Zhijun Zhan, Stan Matwin
Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned Data. 529-538 - S. P. Subasingha, J. Zhang, Kamal Premaratne
Using Association Rules for Classification from Databases Having Class Label Ambiguities: A Belief Theoretic Method. 539-562
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