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Advanced Data Mining and Applications : 10th International Conference, ADMA 2014, Guilin, China, December 19-21, 2014, Proceedings / edited by Xudong Luo, Jeffrey Xu Yu, Zhi Li.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Luo, Xudong, Editor.
Yu, Jeffrey Xu, Editor.
Li, Zhi, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 8933
Lecture Notes in Artificial Intelligence, 2945-9141 ; 8933
Language:
English
Subjects (All):
Artificial intelligence.
Data mining.
Information storage and retrieval systems.
Application software.
Database management.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer and Information Systems Applications.
Database Management.
Local Subjects:
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer and Information Systems Applications.
Database Management.
Physical Description:
1 online resource (XVI, 741 pages) : 298 illustrations
Edition:
1st ed. 2014.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2014.
System Details:
text file PDF
Summary:
This book constitutes the proceedings of the 10th International Conference on Advanced Data Mining and Applications, ADMA 2014, held in Guilin, China during December 2014. The 48 regular papers and 10 workshop papers presented in this volume were carefully reviewed and selected from 90 submissions. They deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, advance machine learning techniques, classification, big data and applications, clustering methods, machine learning, and data mining and database.
Contents:
Data Mining
A New Improved Apriori Algorithm Based on Compression Matrix
FHN: Efficient Mining of High-Utility Itemsets with Negative Unit Profits
Novel Concise Representations of High Utility Itemsets Using Generator Patterns
Incrementally Updating High-Utility Itemsets with Transaction Insertion
Mining Frequent Closed Sequential Patterns with Non-user-defined Gap Constraints
High Utility Episode Mining Made Practical and Fast
Social Network and Social Media
Community Dynamics: Event and Role Analysis in Social Network Analysis
Local Community Extraction for Non-overlapping and Overlapping Community Detection
Discovery of Tampered Image with Robust Hashing
TweeProfiles: Detection of Spatio-temporal Patterns on Twitter
Real-Time Event Detection Based on Geo Extraction and Temporal Analysis
An Automatic Unsupervised Method Based on Context-Sensitive Spectral Angle Mapper for Change Detection of Remote Sensing Images
Recommend System
A Personalized Travel System Based on Crowdsourcing Model
Difference Factor' KNN Collaborative Filtering Recommendation Algorithm
A Reputation-Enhanced Recommender System
An Empirical Methodology to Analyze the Behavior of Bagging
Context-Aware Recommendation Using GPU Based Parallel Tensor Decomposition
Location-Based Recommendation Using Incremental Tensor Factorization Model
Database Mining Continuous Activity Patterns from Animal Trajectory Data
Personalized Privacy Protection for Transactional Data
A Hybrid Algorithm for Privacy Preserving Social Network Publication
Achieving Absolute Privacy Preservation in Continuous Query Road Network Services
A C-DBSCAN Algorithm for Determining Bus-Stop Locations Based on Taxi GPS Data
A Secure and Efficient Privacy-Preserving Attribute Matchmaking Protocol in Proximity-Based Mobile Social Networks
Dimensionality Reduction
A New Filter Approach Based on Generalized Data Field
A Stable Instance Based Filter for Feature Selection in Small Sample Size Data Sets
Multi-label Feature Selection via Information Gain
Efficient kNN Algorithm Based on Graph Sparse Reconstruction
On Dynamic Selection of Subspace for Random Forest
Dimensionally Reduction: An Experimental Study
Advance Machine Learning Techniques
Efficient Deep Learning Algorithm with Accelerating Inference Strategy
Multi-angle Evaluations of Test Cases Based on Dynamic Analysis
An Interest-Based Clustering Method for Web Information Visualization
A Serial Sample Selection Framework for Active Learning
Map Matching for Taxi GPS Data with Extreme Learning Machine
A Segment-Wise Method for Pseudo Periodic Time Series Prediction
Classification
Constructing Decision Trees for Unstructured Data
Attack Type Prediction Using Hybrid Classifier
kNN Algorithm with Data-Driven k Value
Topology Potential-Based Parameter Selecting for Support Vector Machine
Active Multi-label Learning with Optimal Label Subset Selection
Merging Decision Trees: A Case Study in Predicting Student Performance
Big Data and Applications
Faster MaxScore Query Processing with Essential List Skipping
Selecting Representative Objects from Large Database by Using K-Skyband and Top-k Dominating Queries in MapReduce Environment
Towards Positive Unlabeled Learning for Parallel Data Mining: A Random Forest Framework
Program Verification by Reachability Searching over Dynamic Call Tree
CinHBa: A Secondary Index with Hotscore Caching Policy on Key-Value Data Store
Towards Ontology-Enhanced Cloud Services Discovery
Clustering Methods
A Huffman Tree-Based Algorithm for Clustering Documents. -Improved Spectral Clustering Algorithm Based on Similarity Measure
A Partition Clustering Algorithm for Transaction Database Based on FCM
Machine Learning
Discernibility Matrix Enriching and Boolean-And Algorithm for Attributes Reduction
Smart Partitioning for Product DSM Model Based on Improved Genetic Algorithm
A New Method for Image Understanding and Retrieval Using Text-Mined Knowledge
A Web Table Extraction Method Based on Structure and Ontology
Data Mining and Database
Block Nested Join and Sort Merge Join Algorithms: An Empirical Evaluation
The Design of Power Security System in Smart Home Based on the Stream Data Mining
Agent-Based Privacy Aware Feedback System.
Other Format:
Printed edition:
ISBN:
978-3-319-14717-8
9783319147178
Access Restriction:
Restricted for use by site license.

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