ACM SIGCHI General Interest Announcements (Mailing List)


Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Reply To:
Tue, 15 Feb 2011 17:58:02 -0500
text/plain (179 lines)

Please consider to contribute to and/or forward to the appropriate
groups the following opportunity to submit and publish original
scientific results.

============== IMMM 2011 | Call for Papers ===============


IMMM 2011: The First International Conference on Advances in Information
Mining and Management
July 17-22, 2011 - Bournemouth, UK

General page:
Call for Papers:

Submission deadline: March 10, 2011

Technical Co-Sponsors:
- The Bournemouth & Poole College
- Bournemouth University
- Cisco Systems, Inc.
- Linköpings Universitet, Sweden
- IN2 search interfaces development Ltd., UK
- High Performance Computing Center Stuttgart / Universität Stuttgart,
Sponsored by IARIA,

Extended versions of selected papers will be published in IARIA

Please note the Poster Forum and Work in Progress options.

The topics suggested by the conference can be discussed in term of
concepts, state of the art, research, standards, implementations,
running experiments, applications, and industrial case studies. Authors
are invited to submit complete unpublished papers, which are not under
review in any other conference or journal in the following, but not
limited to, topic areas.

All tracks are open to both research and industry contributions, in
terms of Regular papers, Posters, Work in progress,
Technical/marketing/business presentations, Demos, Tutorials, and Panels.

Before submission, please check and conform with the Editorial rules:

IMMM 2011 Topics (topics and submission details: see CfP on the site)

*Mining mechanisms and methods*
Data mining algorithms; Media adaptive mining; Agent-based mining;
Content-based mining; Context-aware mining; Automation of data
extraction; Data mining at a large; Domain-driven data mining;
Graph-based data mining; Multilabel information; Multimodal mining;
Cloud-based mining; Mining using neurocomputing techniques

*Mining support*
Querying for mining; Questions for digital investigation; Similarity
search; User-generated content; Visualizing data mining;
Internationalization and localization techniques for
profile/context-based visualization

*Type of information mining*
Concept mining; Process mining; Concept mining; Knowledge mining;
Knowledge discovery; Mining image and video; Mining patterns; Opinion
mining; Graph mining; Ontology mining; Semantic annotations and mining;
Document mining; Spatial mining; Speech mining; Text mining; Web mining;
XML data mining

*Pervasive information retrieval*
Context and location information retrieval; Mobile information
retrieval; Geo-information retrieval; Context-aware information
retrieval; Access-driven information retrieval; Location-specific
information retrieval; Spacial information retrieval; Semantic-driven

*Automated retrieval and mining*
Automated information extraction; Agent-based data mining and
information discovery; Agent-based knowledge; Datamining-based agents
and multi-agent systems; Agent-mining intelligent applications and
systems; Automated retrieval of multimedia streams; Automated retrieval
from multimedia archives; Automated copyright infringement detection and
watermarking; Automated content summarization; Automatic concept
detection, categorization, and genre detection; Automatic speech
recognition; Automated cross-media linking

*Mining features*
Multilingual data mining; Multimedia mining; String processing and data
mining; Mining association rules; Mining social relationships; Mining
linked data; Mining sequential episodes from time series; Mining
time-dependent data; Un-supervised data mining; Semi-structured data;
Mining location-sensitive data; Concept-drift in data mining

*Information mining and management*
Data cleaning; Data updating; Segmentation and clustering; Mining
transient information; Warehousing; Web syndication; Data filtering and
aggregation; Optimal pruning; Data summarization; Knowledge injection,
discovery and classification; Uncertainty removal; Managing incompleteness

*Mining from specific sources*
Bio data mining; Climate data mining; Data mining in medicine and
pharmacology; Data mining in special networks (grids, sensors, etc.);
Data management for mobile systems; Data management for sensors; Data
mining and management for wireless systems; Dynamic network discovery;
Mining from multiple sources; Mining personal semantic data; Mining from
social networks; Mining from deep web; Mining from Wikipedia

*Data management in special environments*
Data management in sensor and mobile ad hoc networks; Data management in
mobile peer-to-peer networks; Data management for mobile applications;
Data management in mobile/temporal social networks; Management of
community sensing/participatory sensing data; Managing pervasive data,
sensor data streams and user devices; Managing mobile semantic data;
Manging data-intensive mobile computing; Management of real-time data;
Managing security data streams; Managing Mobile Web 2.0 data; Managing
data in mobile clouds; Data replication, migration and dissemination in
mobile environments; Web data processing and security on mobile devices;
Resource advertising and discovery techniques

*Mining evaluation*
Statistics on mining; Ranking of mining results; Provenance; Privacy
issues; Patterns for mining; Credibility on data mining; Performance of
mining information; Data mining and computational intelligence;
Intelligent data understanding; Intelligent data analysis

*Mining tools and applications*
Data mining applications; Data mining tools and enabling software;
Interoperability of information mining tools; Applications for
large-scale mining; Content segmentation tools (e.g., shot and semantic
scene segmentation); Evaluation methods for TV and radio content
analysis tools; Tools for data sets and standard resources

*IMMM General Chairs*
Philip Davis, Bournemouth and Poole College - Bournemouth, UK
David Newell, Bournemouth University - Bournemouth, UK

*IMMM Advisory Chairs*
Petre Dini, Concordia University, Canada & IARIA, USA
Andreas Holzinger, Institute for Medical Informatics, Statistics and
Documentation (IMI) / Medical University Graz (MUG), Austria
Kuan-Ching Li, Providence University, Taiwan

*IMMM Industry Liaison Chairs*
George Ioannidis, IN2 search interfaces development Ltd., UK
Johannes Meinecke, SAP AG / SAP Research Center Dresden, Germany

*IMMM Special Area Chairs on Data Management*
Robert Wrembel, Poznan University of Technology, Poland

*IMMM Special Area Chair on Special Mining*
Yulan He, Knowledge Media Institute / The Open University, UK

*IMMM Special Area Chair on Semantic Data Handling*
Stefan Brüggemann, OFFIS - Institute for Information Technology, Germany

*IMMM Special Area Chair on Databases*
Lena Strömbäck, Linköpings Universitet, Sweden

*IMMM Special Area Chair on Cloud-based Mining*
Roland Kübert, High Performance Computing Center Stuttgart / Universität
Stuttgart, Germany

*IMMM Publicity Chairs*
Zaher Al Aghbari, University of Sharjah, UAE
Alejandro Canovas Solbes, Polytechnic University of Valencia, Spain

Program Committee

                To unsubscribe, send an empty email to
     mailto:[log in to unmask]
    For further details of CHI lists see