DTWSNM 2014 - The IEEE International Workshop on Data, Text, Web and Social Networking Mining

Over the last several years, the researchers of diverse communities focused on mining knowledge or other interested targets from structured, semi-structured, textual, multimedia or interaction data that have grown significantly. However, these massive, heterogeneous and non-synchronous data introduce significant challenges to the data, text, web, and social network mining, for example, data modeling and massive data process. How to achieve efficient, accurate, trustworthy, distributed and parallel mining results has become crucial of importance that significantly impacts its future success.
In recent years, data, text, web, and social network mining (DTWSM) has been paid an increasing attention and gained serious studies towards being successfully applied in the practice of the data incentive applications and services. DTWSM workshop aims to bring together researchers and practitioners to address various aspects of heterogeneous data mining, such as models and technologies for statistical data analysis, Web search technology, analysis of user behavior, social network analysis, data visualization, applications that touch our daily lives, and more. Together, we will continuously explore and discuss the latest academic and industrial research results related to this domain.
Topics of interest include, but are not limited to:
Theoretic foundations
Statistical methods for data mining
Novel models and algorithms
Data pre-processing
Feature extraction and selection
Post-processing including quality assessment and validation
Association analysis
Anomaly detection
Clustering / Classification
Knowledge Management
Knowledge Synthesis and Visualization
Semantic Techniques
Language Specific IR (multi-lingual, NLP, question and answer)
Mining heterogeneous/multi-source data
Mining RDF graph, graph and network data
Mining sequential data
Mining spatial and temporal data
Mining unstructured and semi-structured data
Mining social networks
Mining high dimensional data
Mining uncertain data
Mining imbalanced data
Mining dynamic/streaming data
Mining behavioral data
Mining multimedia data
Mining scientific data
Privacy preserving data mining
Security and intrusion detection
Visual data mining
Interactive and online mining
Fraud and risk analysis
Ubiquitous knowledge discovery and agent-based data mining
Integration of data warehousing, OLAP and data mining
Parallel, distributed, and cloud-based high performance data mining
Opinion mining and sentiment analysis
Human, domain, organizational and social factors in data mining
Applications to healthcare, bioinformatics, computational chemistry, finance, eco-informatics, marketing, gaming, etc
Important Dates
Paper submission deadline: April 10th, 2014
Author notification: May 20th, 2014
Final manuscript due: June 20th, 2014
Submission Instructions
Papers submitted to DTWSM2014 should be written in English conforming to the IEEE Conference Proceedings Format(8.5" x 11", Two-Column). The paper should be submitted through the EasyChair paper submission system at the workshop website. The length of the papers should not exceed 6 pages + 2 pages for over length charges.
The accepted papers of DTWSM2014 will be published by IEEE Computer Society / CS Press in IEEE proceedings (indexed by EI Compendex). Distinguished papers, after further revisions,will be published in SCI & EI indexed special issues, which will be shared by the IEEE CIT 2014 conference and its symposiums and workshops.
Submitting a paper to DTWSM2014 means that, if the paper is accepted, at least one author should attend the workshop and present the paper.
Program Co-Chairs
Jun Liu, Xi’an Jiaotong University, China (liukeen-AT-mail.xjtu.edu.cn)
Zheng Yan, Xidian University, China / Aalto University, Finland (zyan-AT-xidian.edu.cn;zheng.yan-AT-aalto.fi )
PC Members (In alphabetical order)
Bifan Wei, Xi’an Jiaotong University, China
Dajiang Zhang, Microsoft, China
Haifei Li, Union University, USA
Mingjun Wang, Xidian University, China
Qingtang Liu, Central China Normal University, China
Qinpei Zhao, Tongji University, China
Wei Zhang, Amazon Inc., USA
Weizhan Zhang, Xi’an Jiaotong University, China
Wujun Li, Nanjing University, China
Yu Chen, Swiss Federal Institute of Technology, Lausanne
Zhe Guo, Shanghai Aerospace Electronics Co.Ltd, China
Contact
Please email inquiries concerning DTWSM2014 to:
Prof.Jun Liu, Email: liukeen-AT-mail.xjtu.edu.cn