| Industrial Papers (Invited) |
| Network Data Mining and Analysis: The <$>{\cal {NEMESIS}}<$> Project / Minos Garofalakis ; Rajeev Rastogi |
| Privacy Preserving Data Mining: Challenges and Opportunities / Ramakrishnan Srikant |
| Survey Papers (Invited) |
| A Case for Analytical Customer Relationship Management / Jaideep Srivastava ; Jau-Hwang Wang ; Ee-Peng Lim ; San-Yih Hwang |
| On Data Clustering Analysis: Scalability, Constraints, and Validation / Osmar R. Zaïane ; Andrew Foss ; Chi-Hoon Lee ; Weinan Wang |
| Association Rules (I) |
| Discovering Numeric Association Rules via Evolutionary Algorithm / Jacinto Mata ; José-Luis Alvarez ; José-Cristónal Riquelme |
| Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining / Jochen Hipp ; Christoph Mangold ; Ulrich Güntzer ; Gholamreza Nakhaeizadeh |
| Association Rule Mining on Remotely Sensed Images Using P-trees / Qin Ding ; Qiang Ding ; William Perrizo |
| On the Efficiency of Association-Rule Mining Algorithms / Vikram Pudi ; Jayant R. Haritsa |
| Classification (I) |
| A Function-Based Classifier Learning Scheme Using Genetic Programming / Jung-Yi Lin ; Been-Chian Chien ; Tzung-Pei Hong |
| SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning / Zhipeng Xie ; Wynne Hsu ; Zongtian Liu ; Mong Li Lee |
| A Method to Boost Naïve Bayesian Classifiers / Lili Diao ; Keyun Hu ; Yuchang Lu ; Chunyi Shi |
| Toward Bayesian Classifiers with Accurate Probabilities / Charles X. Ling ; Huajie Zhang |
| Interestingness |
| Pruning Redundant Association Rules Using Maximum Entropy Principle / Szymon Jaroszewicz ; Dan A. Simovici |
| A Confidence-Lift Support Specification for Interesting Associations Mining / Wen-Yang Lin ; Ming-Cheng Tseng ; Ja-Hwung Su |
| Concise Representation of Frequent Patterns Based on Generalized Disjunction-Free Generators / Marzena Kryszkiewicz ; Marcin Gajek |
| Mining Interesting Association Rules: A Data Mining Language / Show-Jane Yen ; Yue-Shi Lee |
| The Lorenz Dominance Order as a Measure of Interestingness in KDD / Robert J. Hilderman |
| Sequence Mining |
| Efficient Algorithms for Incremental Update of Frequent Sequences / Minghua Zhang ; Ben Kao ; David Cheung ; Chi-Lap Yip |
| DELISP: Efficient Discovery of Generalized Sequential Patterns by Delimited Pattern-Growth Technology / Ming-Yen Lin ; Suh-Yin Lee ; Sheng-Shun Wang |
| Self-Similarity for Data Mining and Predictive Modeling - A Case Study for Network Data / Jafar Adibi ; Wei-Min Shen ; Eaman Noorbakhsh |
| A New Mechanism of Mining Network Behavior / Shun-Chieh Lin ; Shian-Shyong Tseng ; Yao-Tsung Lin |
| Clustering |
| M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining / Michael Ng ; Joshua Huang |
| An Incremental Hierarchical Data Clustering Algorithm Based on Gravity Theory / Chien-Yu Chen ; Shien-Ching Hwang ; Yen-Jen Oyang |
| Adding Personality to Information Clustering / Ah-Hwee Tan ; Hong Pan |
| Clustering Large Categorical Data / François-Xavier Jollois ; Mohamed Nadif |
| Web Mining |
| WebFrame: In Pursuit of Computationally and Cognitively Efficient Web Mining / Tong Zheng ; Yonghe Niu ; Randy Goebel |
| Naviz: Website Navigational Behavior Visualizer / Bowo Prasetyo ; Iko Pramudiono ; Katsumi Takahashi ; Masaru Kitsuregawa |
| Optimal Algorithms for Finding User Access Sessions from Very Large Web Logs / Zhixiang Chen ; Ada Wai-Chee Fu ; Frank Chi-Hung Tong |
| Automatic Information Extraction for Multiple Singular Web Pages / Chia-Hui Chang ; Shih-Chien Kuo ; Kuo-Yu Hwang ; Tsung-Hsin Ho ; Chih-Lung Lin |
| Association Rules (II) |
| An Improved Approach for the Discovery of Causal Models via MML / Honghua Dai ; Gang Li |
| SETM*-MaxK: An Efficient SET-Based Approach to Find the Largest Itemset / Ye-In Chang ; Yu-Ming Hsieh |
| Discovery of Ordinal Association Rules / Sylvie Guillaume |
| Value Added Association Rules / T.Y. Lin ; Y.Y. Yao ; E. Louie |
| Top Down FP-Growth for Association Rule Mining / Ke Wang ; Liu Tang ; Jiawei Han ; Junqiang Liu |
| Semi-structure & Concept Mining |
| Discovery of Frequent Tag Tree Patterns in Semistructured Web Documents / Tetsuhiro Miyahara ; Yusuke Suzuki ; Takayoshi Shoudai ; Tomoyuki Uchida ; Kenichi Takahashi ; Hiroaki Ueda |
| Extracting Characteristic Structures among Words in Semistructured Documents / Kazuyoshi Furukawa ; Kazuya Yamada ; Yasuaki Nakamura |
| An Efficient Algorithm for Incremental Update of Concept Space / Felix Cheung ; Chi-Yuen Ng |
| Data Warehouse and Data Cube |
| Efficient Constraint-Based Exploratory Mining on Large Data Cubes / Cuiping Li ; Shengen Li ; Shan Wang ; Xiaoyong Du |
| Efficient Utilization of Materialized Views in a Data Warehouse / Don-Lin Yang ; Man-Lin Huang ; Ming-Chuan Hung |
| Bio-Data Mining |
| Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR / Ning Zhong ; Juzhen Dong |
| Evaluation of Techniques for Classifying Biological Sequences / Mukund Deshpande ; George Karypis |
| Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques / Vincent S.M. Tseng ; Ching-Pin Kao |
| Classification (II) |
| Adaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem / Yulan Liang ; King-Ip Lin ; Arpad Kelemen |
| GEC: An Evolutionary Approach for Evolving Classifiers / William W. Hsu ; Ching-Chi Hsu |
| An Efficient Single-Scan Algorithm for Mining Essential Jumping Emerging Patterns for Classification / Hongjian Fan ; Ramamohanarao Kotagiri |
| A Method to Boost Support Vector Machines |
| Temporal Mining |
| Distribution Discovery: Local Analysis of Temporal Rules / Xiaoming Jin |
| News Sensitive Stock Trend Prediction / Gabriel Pui Cheong Fung ; Jeffrey Xu Yu ; Wai Lam |
| User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models / Dit-Yan Yeung ; Yuxin Ding |
| Classification (III) |
| Incremental Extraction of Keyterms for Classifying Multilingual Documents in the Web / Lee-Feng Chien ; Chien-Kang Huang ; Hsin-Chen Chiao ; Shih-Jui Lin |
| k-nearest Neighbor Classification on Spatial Data Streams Using P-trees / Maleq Khan |
| Interactive Construction of Classification Rules / Jianchao Han ; Nick Cercone |
| Outliers, Missing Data, and Causation |
| Enhancing Effectiveness of Outlier Detections for Low Density Patterns / Jian Tang ; Ada Wai-chee Fu ; David W. Cheung |
| Cluster-Based Algorithms for Dealing with Missing Values / Yoshikazu Fujikawa ; TuBao Ho |
| Extracting Causation Knowledge from Natural Language Texts / Ki Chan ; Boon-Toh Low ; Kai-Pui Lam |
| Mining Relationship Graphs for Effective Business Objectives / Kok-Leong Ong ; Wee-Keong Ng |
| Author Index |
| Industrial Papers (Invited) |
| Network Data Mining and Analysis: The <$>{\cal {NEMESIS}}<$> Project / Minos Garofalakis ; Rajeev Rastogi |
| Privacy Preserving Data Mining: Challenges and Opportunities / Ramakrishnan Srikant |
図書
ＥＢ
