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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Cao, Longbing (Επιμελητής έκδοσης), Feng, Yong (Επιμελητής έκδοσης), Zhong, Jiang (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Σειρά: Lecture Notes in Computer Science, 6440
• Θέματα: Computer science.; Computer communication systems.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computer Communication Networks.; Information Systems Applications (incl. Internet).; Information Storage and Retrieval.; Database Management.; Data Mining and Knowledge Discovery.

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...

Πίνακας περιεχομένων:

• Data Mining Foundations
• Cost Sensitive Classification in Data Mining
• 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
• Research on Time Series Forecasting Model Based on Moore Automata
• A Clustering Algorithm FCM-ACO for Supplier Base Management
• Nearest Neighbour Distance Matrix Classification
• Classification Inductive Rule Learning with Negated Features
• Fast Retrieval of Time Series Using a Multi-resolution Filter with Multiple Reduced Spaces
• DHPTID-HYBRID Algorithm: A Hybrid Algorithm for Association Rule Mining
• An Improved Rough Clustering Using Discernibility Based Initial Seed Computation
• Fixing the Threshold for Effective Detection of Near Duplicate Web Documents in Web Crawling
• Topic-Constrained Hierarchical Clustering for Document Datasets
• Discretization of Time Series Dataset Using Relative Frequency and K-Nearest Neighbor Approach
• MSDBSCAN: Multi-density Scale-Independent Clustering Algorithm Based on DBSCAN
• An Efficient Algorithm for Mining Erasable Itemsets
• Discord Region Based Analysis to Improve Data Utility of Privately Published Time Series
• Deep Web Sources Classifier Based on DSOM-EACO Clustering Model
• Kernel Based K-Medoids for Clustering Data with Uncertainty
• Frequent Pattern Mining Using Modified CP-Tree for Knowledge Discovery
• Spatial Neighborhood Clustering Based on Data Field
• Surrounding Influenced K-Nearest Neighbors: A New Distance Based Classifier
• A Centroid k-Nearest Neighbor Method
• Mining Spatial Association Rules with Multi-relational Approach
• An Unsupervised Classification Method of Remote Sensing Images Based on Ant Colony Optimization Algorithm
• A Novel Clustering Algorithm Based on Gravity and Cluster Merging
• Data Mining in Specific Areas
• Evolution Analysis of a Mobile Social Network
• Distance Distribution and Average Shortest Path Length Estimation in Real-World Networks
• Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution
• Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data
• Frequent Pattern Trend Analysis in Social Networks
• Efficient Privacy-Preserving Data Mining in Malicious Model
• Analyze the Wild Birds’ Migration Tracks by MPI-Based Parallel Clustering Algorithm
• Formal Concept Analysis Based Clustering for Blog Network Visualization
• Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach
• Weigted-FP-Tree Based XML Query Pattern Mining
• Privacy-Preserving Data Mining in Presence of Covert Adversaries
• Multiple Level Views on the Adherent Cohesive Subgraphs in Massive Temporal Call Graphs
• Combating Link Spam by Noisy Link Analysis
• High Dimensional Image Categorization
• Efficiently Mining Co-Location Rules on Interval Data
• Multiple Attribute Frequent Mining-Based for Dengue Outbreak
• A Top-Down Approach for Hierarchical Cluster Exploration by Visualization
• Distributed Frequent Items Detection on Uncertain Data
• Mining Uncertain Sentences with Multiple Instance Learning
• WeightLOFCC: A Heuristic Weight-Setting Strategy of LOF Applied to Outlier Detection in Time Series Data
• TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support
• Research on Similarity Matching for Multiple Granularities Time-Series Data
• A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks
• Investigating Sequential Patterns of DNS Usage and Its Applications
• Key Issues and Theoretical Framework on Moving Objects Data Mining
• An Improved KNN Based Outlier Detection Algorithm for Large Datasets
• Some Developments of Determinacy Analysis
• A New Computational Framework for Gene Expression Clustering
• Forecasting Short-Term Trends of Stock Markets Based on Fuzzy Frequent Pattern Tree
• Inspired Rule-Based User Identification.