[AISWorld] Call for participation - ICDM -IDP 2014

[Hao Lan Zhang]

ICDM-IDP 2014 : 2014 ICDM Workshop - The Third International Workshop on
Intelligent Data Processing

                            Website:
http://bncoltd.newvod.com/topic/ICDM2014/

OSN and E-health data, although widely and diligently collected, continue
to be under-utilized for research and evaluation. How to make use of the
enormous amount of data efficiently and effectively is one of fundamental
issues that data science researchers encounter today, particularly for OSN
and e-health data analysis. Such research holds a great promise to improve
the quality of data analysis. To accomplish this objective, the
collaborations of both practical applications and theoretical research will
be essential.

Organized in conjunction with the 14th IEEE International Conference on
Data Mining (IEEE ICDM 2014), the purpose of the 3rd IDP is to provide a
forum for discussion and interaction among researchers with interests in
the cutting edge techniques of intelligent data processing mechanisms.
Participants are invited to submit papers in all areas of data- and
knowledge-based approaches, particularly in the areas of Big Data and
Online Social Networks.


*TOPICS:*


Papers are welcome from topics related to various data- and knowledge-based
approaches in health domains.

Research topics of interest include, but are not limited to:

l Agent Mining

l Agent-based Systems

l Artificial Intelligence

l Cloud Computing in Data Ming

l Electronic Health Record Applications

l Graph-based Data Analysis

l Implementation and Case Studies

l Intelligent Health Records

l Medical Data Mining

l Online Social Data Analysis

l Optimization Algorithms


*SPECIAL ISSUES:*


All accepted workshop papers will be recommended to submit their extended
version to the following Journals:

   HISS (e-health and medical)

   IEEE Transaction on Cloud Computing

   International Journal of Social Network Mining (TBC)


*   ACCEPTED PAPERS:*

*    Regular Papers:*

  SK203   Accelerated Online Learning for Collaborative Filtering and
Recommender Systems

   SK204   A Collaborative and Adaptive Intrusion Detection Based on SVMs and
Decision Trees

   SK206   An Effective Clustering Algorithm for Auto-Detecting
Well-Separated Clusters

   SK209   An Efficient Algorithm for Finding Continuous Coherent Evolution
Bicluster in Time-series Data

   SK215   Exploring Mixed Membership Stochastic Blockmodels via
Non-negative Matrix Factorization

*       Short Papers:*

   SK201    Medical Error Prevention Based on Path Integration System
Approach

    SK207    Illumination Invariant Face Recognition with Particle Swarm
Optimization

    SK210    Query Hidden Attributes in Social Networks

    SK214    An Criteria Clustering Method Based on Extenics

*INVITED TALK:*

Prof. Jiming Liu, Hong Kong Baptist University, Hong Kong


*WORKSHOP CO-CHAIRS:*

Haolan Zhang (NIT, Zhejiang University, China)

Email: haolan.zhang at nit.zju.edu.cn

Chaoyi Pang  (NIT, Zhejiang University, China)

Email: Chaoyi.Pang at csiro.au

Xue Li (The University of Queensland, Australia)

Email: x.li at uq.edu.au

Rao Kotagiri (The University of Melbourne, Aus)

Email: rkotagiri at gmail.com



-- 
Hao Lan Zhang (PhD), 浙江大学研究生导师
Associate Professor & Deputy Director
SCDM Joint Center
NIT, Zhejiang University

Editor-in-Chief (TP)
Advances in Information Sciences
Phone: +86-574-88229135
Email: haolan.zhang at nit.zju.edu.cn
http://glfy.nit.net.cn/szdw3/27179.htm (NIT School)
http://www.scholat.com/~Haolan (Scholat)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.aisnet.org/pipermail/aisworld_lists.aisnet.org/attachments/20141107/2b84d795/attachment.html>