New Frontiers in Applied Data Mining: PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers

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This book constitutes the proceedings of the PAKDD Workshops 2008, namely ALSIP 2008, DMDRM 2008, and IDM 2008. The workshops were held in conjunction with the PAKDD conference in Osaka, Japan, during May 20-23, 2008.

The 17 papers presented were carefully reviewed and selected from 38 submissions.

The International Workshop on Algorithms for Large-Sale Information Processing in Knowledge Discovery (ALSIP) focused on exchanging fresh ideas on large-scale data processing in the problems of data mining, clustering, machine learning, statistical analysis, and other computational aspects of knowledge discovery problems.

The Workshop on Data Mining for Decision Making and Risk Management (DMDRM) covered data mining and machine learning approaches, statistical approaches, chance discovery, active mining and application of these techniques to medicine, marketing, security, decision support in business, social activities, human relationships, chemistry and sensor data.

The Workshop on Interactive Data Mining Overview (IDM) discussed various interactive data mining researches such as interactive information retrieval, information gathering sysetms, personalization systems, recommendation systems, user interfaces.

Author(s): Takuya Kida, Tomoya Saito, Hiroki Arimura (auth.), Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi (eds.)
Series: Lecture Notes in Computer Science 5433 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009

Language: English
Pages: 214
Tags: Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Information Storage and Retrieval; User Interfaces and Human Computer Interaction; Multimedia Information Systems; Computational Biology/Bioinformatics

Front Matter....Pages -
Flexible Framework for Time-Series Pattern Matching over Multi-dimension Data Stream....Pages 1-12
An Adaptive Algorithm for Splitting Large Sets of Strings and Its Application to Efficient External Sorting....Pages 13-25
Incrementally Mining Recently Repeating Patterns over Data Streams....Pages 26-37
A Graph-Based Approach for Sentiment Sentence Extraction....Pages 38-48
Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework....Pages 49-61
A Framework for Mining Fuzzy Association Rules from Composite Items....Pages 62-74
Mining Mutually Dependent Ordered Subtrees in Tree Databases....Pages 75-86
A Tree Distance Function Based on Multi-sets....Pages 87-98
Sibling Distance for Rooted Labeled Trees....Pages 99-110
Kernel Functions Based on Derivation....Pages 111-122
Dynamic Bayesian Networks for Acquisition Pattern Analysis: A Financial-Services Cross-Sell Application....Pages 123-133
An Automata Based Authorship Identification System....Pages 134-142
Detection of Risk Factors as Temporal Data Mining....Pages 143-156
Two-Phased Active Support Kernel Machine Learning....Pages 157-168
Extracting Topic Maps from Web Pages....Pages 169-180
Interactive Abnormal Condition Sign Discovery for Hydroelectric Power Plants....Pages 181-192
Interactive Visualization System for Decision Making Support in Online Shopping....Pages 193-202
A Method to Recognize and Count Leaves on the Surface of a River Using User’s Knowledge about Color of Leaves....Pages 203-212
Back Matter....Pages -