The complexity of numerous social, biological, and communication systems, is driving many researchers towards the adoption of data mining approaches. The characterization, management and control of complex networks are challenging tasks, common to many areas of Science. The Workshop on Data Mining in Networks intends to facilitate the exchange of ideas between different research communities which share a common interest in extracting models and information from complex networks. The workshop focus will encompass data mining algorithms and applications for complex networks, such as communication networks, social networks, biological networks, citation networks, etc. The workshop is aimed at researchers in Computer Science and other disciplines like Mathematics, Biology, Neuroscience, etc., who share an interest in the analysis and control of complex networks by means of Data Mining approaches.
Data Mining algorithms and frameworks:
Parallel and Distributed Data Mining algorithms
Extreme-scale Data Mining
Graph Mining
Online Learning on Data Streams
Data Mining in Communication Network and Service Management
Analysis, modeling and visualization of complex and evolving networks
Data Mining applications in Networks
Application Domains:
Computer Networks
Autonomous and Autonomic Networks
Cognitive and Bio-inspired Networks
Peer-to-Peer (P2P) Overlay Networks
Mobile ad-hoc Networks (MANET)
Wireless Sensor Networks (WSN)
Distributed Computing Systems
Grid/Cloud Computing
World Wide Web
Internet of Things
Social Networks
Citation Networks and Bibliometrics
Scale-free and small-world Networks
Bioinformatics and System
12月12日
2016
会议日期
初稿截稿日期
终稿截稿日期
注册截止日期
2017年11月18日 美国
第七届IEEE网络数据挖掘研讨会2013年12月07日 美国
第三次网络数据挖掘技术国际研讨会
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