Advanced Data Mining and Applications 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I

• Main Authors: Cao, Longbing, Feng, Yong, Zhong, Jiang
• Format: eBook
• Language: English
• Published: Berlin, Heidelberg Springer Berlin / Heidelberg 2010; Springer
• Edition: 1
• Series: Lecture Notes in Computer Science
• Subjects: Congresses; Data mining
• ISBN: 3642173152; 9783642173158

With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for information processing is not just about a better understanding of data, but also a better usage of data in a timely fash...

Table of Contents:

• Intro -- Preface -- Organization -- Table of Contents - Part I -- Table of Contents - Part II -- Web Users Access Paths Clustering Based on Possibilistic and Fuzzy Sets Theory -- Discriminative Markov Logic Network Structure Learning Based on Propositionalization and .2- Test -- EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining -- Best Clustering Configuration Metrics: Towards Multiagent Based Clustering -- On Probabilistic Models for Uncertain Sequential Pattern Mining -- Cube Based Summaries of Large Association Rule Sets -- A Perceptron-Like Linear Supervised Algorithm for Text Classification -- Classification Inductive Rule Learning with Negated Features -- Topic-Constrained Hierarchical Clustering for Document Datasets -- Kernel Based K-Medoids for Clustering Data with Uncertainty -- Surrounding Influenced K-Nearest Neighbors: A New Distance Based Classifier -- A Centroid k-Nearest Neighbor Method -- Distance Distribution and Average Shortest Path Length Estimation in Real- World Networks -- Self-adaptive Change Detection in Streaming Data with Non- stationary Distribution -- Frequent Pattern Trend Analysis in Social Networks -- Efficient Privacy-Preserving Data Mining in Malicious Model -- Formal Concept Analysis Based Clustering for Blog Network Visualization -- Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach -- Privacy-Preserving Data Mining in Presence of Covert Adversaries -- Multiple Level Views on the Adherent Cohesive Subgraphs in Massive Temporal Call Graphs -- Mining Uncertain Sentences with Multiple Instance Learning -- TGP: Mining Top-K Frequent Closed Graph -- Pattern without Minimum Support -- Author Index