1^st International Workshop on Intelligent Data Processing (IDP’2012) in conjunction with APWeb2012

Improving data processing efficiency has attracted much attention from various research communities. Researchers in related fields are facing the challenges of data explosion, which demands enormous manpower for data processing. Artificial intelligence and intelligent systems offer efficient mechanisms that can significantly reduce the costs of processing large volume data and improve data processing quality. Practical applications have been developed in different areas including health informatics, financial data analysis, geographic systems, automated manufacturing processes, etc.

This workshop aims to gather experts and scholars from related fields to present and share their recent research on intelligent data processing. Through IDP’12, participants can further discuss the state-of-art technology in the data processing field as well as the problems or issues occurred during their research.

Published by Springer LNCS: Indexed by EI/ISTP:

Paper Submission Deadline	Nov 30 (Closed)	2011
Notification of Acceptance	15 Jan (Extended)	2012
Camera-ready/Copyright	20 Jan (Extended)	2012
Registration	1 Feb (Extended)	2012
Workshop Day	April 11	2012

The acceptance rate of IDP2012 is: 33.3%. The accepted papers are:

IDP007	Analysis Framework for Electric Vehicle Sharing Systems using Vehicle Movement Data Stream	Junghoon Lee

IDP008	Research on Customer Segmentation Based on Extension Classification	Chunyan YANG

IDP009	An Incremental Mining Algorithm for Association Rules based on Minimal Perfect Hashing and Pruning	Chuang-Kai Chiou
IDP012	LDA-based Topic Modeling in Labeling Blog Posts with Wikipedia Entries	Daisuke Yokomoto

IDP018	The Correlation between Semantic Visual Similarity and Ontology-based Concept Similarity in Effective Web Image Search	Clement Leung

IDP021	Adaptive Design Pattern for Invocation of Synchronous and Asynchronous Web Services in Autonomic Computing Systems	Vishnuvardhan Mannava

IDP024	Mining Tribe-Leaders Based on the Frequent Pattern of Propagation	Zhaoyun Ding

Keynote Speech 1: Prof. Clement Leung

Clement H. C. Leung received the B.Sc. degree with first class honours in Mathematics from McGill University in Canada, the M.Sc. degree in Statistics and Operational Research from the University of Oxford, and the Ph.D. degree in Computer Science from London University. Prof. Leung is currently a Professor in the Department of Computer Science at Hong Kong Baptist University. He was the Foundation Chair Professor in Computer Science at Victoria University in Australia from 1993 – 2007, and prior to that, held an Established Chair in Computer Science at the University of London in the United Kingdom. His principal research interests are in the areas of Multimedia and Visual Information Systems, and Intelligent Decision Support Systems. He has published extensively in top journals including: IEEE Trans on Software Engineering, IEEE Trans on Communication, ACM Trans on Intel Sys and Tech, Acta Informatica, The Computer Journal, Journal of Computer and System Sciences, IEEE Trans on Pattern Anal and Machine Intel, IEEE Multimedia, etc. His services to the research community include serving as Program Chair, Keynote Speaker, Panel Expert, and on the Program Committee and Steering Committee of major International Conferences as well as contributing to the Editorship of a number of international journals.

Participants are invited to submit papers in all areas of data- and knowledge-based approaches, particularly in the areas of health informatics and intelligent systems. Research topics of interest include, but are not limited to:

· Agent Mining

· Agent-based Systems

· Artificial Intelligence

· Clinical Decision Support Systems

· Cloud Computing in Data Ming

· Data Mining/Analysis

· Extenics-based Theory

· Forecasting, Planning, and Scheduling

· Graph-based Data Analysis

· Health Informatics

· Implementation and Case Studies

· Intelligent Health Records

· Intelligent Knowledge Management

· Knowledge Representation and Reasoning

· Multi-agent Systems

· Medical Data Mining

· Natural Language Processing

· Online Data Analysis

· Optimisation Algorithm

· Workflow and capacity optimization

All submissions should be in English. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one author will attend the conference to present the work. Papers should be submitted in LNCS (Lecture Notes in Computer Science) format (style files are available at LNCS Authors Instructions) as PostScript or PDF files. A full paper should not exceed 12 pages in LNCS (Lecture Notes in Computer Science) format A short paper should not exceed 6 pages still in LNCS format. All papers accepted by the workshop will be published in a combined volume of Lecturer Notes in Computer Science series published by Springer.

All papers should be submitted to: OR idpworkshop@gmail.com