Link Mining: Models, Algorithms, and Applications

With the recent flourishing research activities on Web search and mining, social network analysis, information network analysis, information retrieval, link analysis, and structural data mining, research on link mining has been rapidly growing, forming a new field of data mining. Traditional data mi...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Yu, Philip S. (Επιμελητής έκδοσης), Han, Jiawei (Επιμελητής έκδοσης), Faloutsos, Christos (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2010.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Link-Based Clustering
  • Machine Learning Approaches to Link-Based Clustering
  • Scalable Link-Based Similarity Computation and Clustering
  • Community Evolution and Change Point Detection in Time-Evolving Graphs
  • Graph Mining and Community Analysis
  • A Survey of Link Mining Tasks for Analyzing Noisy and Incomplete Networks
  • Markov Logic: A Language and Algorithms for Link Mining
  • Understanding Group Structures and Properties in Social Media
  • Time Sensitive Ranking with Application to Publication Search
  • Proximity Tracking on Dynamic Bipartite Graphs: Problem Definitions and Fast Solutions
  • Discriminative Frequent Pattern-Based Graph Classification
  • Link Analysis for Data Cleaning and Information Integration
  • Information Integration for Graph Databases
  • Veracity Analysis and Object Distinction
  • Social Network Analysis
  • Dynamic Community Identification
  • Structure and Evolution of Online Social Networks
  • Toward Identity Anonymization in Social Networks
  • Summarization and OLAP of Information Networks
  • Interactive Graph Summarization
  • InfoNetOLAP: OLAP and Mining of Information Networks
  • Integrating Clustering with Ranking in Heterogeneous Information Networks Analysis
  • Mining Large Information Networks by Graph Summarization
  • Analysis of Biological Information Networks
  • Finding High-Order Correlations in High-Dimensional Biological Data
  • Functional Influence-Based Approach to Identify Overlapping Modules in Biological Networks
  • Gene Reachability Using Page Ranking on Gene Co-expression Networks.