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IEEE ICDM 2013: Call for Demos, Tutorial proposals and workshop papers

From: ICDM 2013 <icdmxw@GMAIL.COM>
Date: Mon, 29 Jul 2013 12:02:09 -0400
Message-ID: <CAPVPyJhL0JA-AXtJLwpS7go-7oD78n9xncSP3AjnPV-oSWW80A@mail.gmail.com>
To: ICDM@LS.KULEUVEN.BE
===================================================================
ICDM '13: The 13th IEEE International Conference on Data Mining
Sponsored by the IEEE Computer Society

Dallas, Texas, US
8-11 December 2013.

http://icdm2013.rutgers.edu/
===================================================================

The IEEE International Conference on Data Mining (ICDM) has
established itself as the world's premier research conference in data
mining.  The 13th ICDM conference (ICDM '13) provides a premier forum
for the dissemination of innovative, practical development experiences
as well as original research results in data mining, spanning
applications, algorithms, software and systems. The conference draws
researchers and application developers from a wide range of data
mining related areas such as statistics, machine learning, pattern
recognition, databases and data warehousing, data visualization,
knowledge-based systems and high performance computing. By promoting
high quality and novel research findings, and innovative solutions to
challenging data mining problems, the conference seeks to continuously
advance the state of the art in data mining. As an important part of
the conference, the workshops program will focus on new research
challenges and initiatives, and the tutorials program will cover
emerging data mining technologies and the latest developments in data
mining.

For details of Call for tutorials, demo, and call for workshop papers,
visit:
http://icdm2013.rutgers.edu

Deadlines:
- Tutorial proposals: August 3
- Demo proposals due: August 9
- Workshop paper submissions: August 3

List of Workshops:
--8th International Workshop on Spatial and Spatio-Temporal Data Mining
(SSTDM)
--The 8th Workshop on Optimization Based Techniques for Emerging Data
Mining Problems (OEDM)
--Ensemble Methods for clustering and co-clustering (EMClust)
--Incremental clustering, concept drift and novelty detection (IclaNov)
--The 1st International Workshop on High dimensional data mining (HDM)
--The First IEEE ICDM Workshop on Causal Discovery 2013 (CD2013)
--4th ICDM International Workshop on Knowledge Discovery Using Cloud and
Distributed Computing Platforms (KD-Cloud)
--First International Workshop on TeraScale In-Core Data Mining (TIDM)
--Biological Data Mining and its Applications in Healthcare (BioDM)
--The Third International Workshop on Data Mining in Networks (DaMNet)
--Designing the Market of Data - for Synthesizing Data in Sciences and
Businesses (MoDAT)
--The First Workshop on Internet Advertising Using Sentiment Analysis
(AdSent 2013)
--4th IEEE Workshop on Privacy Aspects of Data Mining (PADM 2013)
--Fifth Workshop on Data Mining Case Studies and Practice Prize (DMCS-5)
--The Fourth Workshop on Data Mining for Service (DMS)
--The second international workshop on experimental economics and machine
learning (EEML 2013)
--Data Mining for Geoinformatics and Environmental Hazards (DMG-EH)
--IEEE ICDM Workshop on Mining Performance Patterns in Elite Sports (IEEE
ICDM MPPES)
--2013 International Workshop on Domain Driven Data Mining (DDDM)
--Mining and Understanding from Big Data (MUBD)
--Sentiment Elicitation from Natural Text for Information Retrieval and
Extraction (SENTIRE)
--Astroinformatics (AstroInfo)
--Data Mining in Biomedical Informatics and Healthcare (DMBIH)
--1st Workshop on Biological Data mining and Database Applications (BiDaDa)
--Recommender Systems for Social Networks (RESSON)
--The 1st International Workshop on Mining Social Data at Work (1st MSDW)
Received on Monday, 29 July 2013 16:22:04 UTC

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