posted by system || 45242 views || tracked by 240 users: [display]

ICDM 2013 : IEEE International Conference on Data Mining


Conference Series : International Conference on Data Mining
When Dec 8, 2013 - Dec 11, 2013
Where Dallas, Texas, USA
Submission Deadline Jun 21, 2013
Notification Due Sep 20, 2013
Categories    data mining   information technology   database

Call For Papers

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.
Topics of Interest

Topics related to the design, analysis and implementation of data mining theory, systems and applications are of interest. These include, but are not limited to the following areas:

Foundations of data mining
Data mining and machine learning algorithms and methods in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis), and in new areas
Mining text and semi-structured data, and mining temporal, spatial and multimedia data
Mining data streams
Mining spatio-temporal data
Mining with data clouds and Big Data
Link and graph mining
Pattern recognition and trend analysis
Collaborative filtering/personalization
Data and knowledge representation for data mining
Query languages and user interfaces for mining
Complexity, efficiency, and scalability issues in data mining
Data pre-processing, data reduction, feature selection and feature transformation
Post-processing of data mining results
Statistics and probability in large-scale data mining
Soft computing (including neural networks, fuzzy logic, evolutionary computation, and rough sets) and uncertainty management for data mining
Integration of data warehousing, OLAP and data mining
Human-machine interaction and visual data mining
High performance and parallel/distributed data mining
Quality assessment and interestingness metrics of data mining results
Visual Analytics
Security, privacy and social impact of data mining
Data mining applications in bioinformatics, electronic commerce, Web, intrusion detection, finance, marketing, healthcare, telecommunications and other fields

Related Resources

ADAH 2017   Advanced Data Analytics in Health
PAKDD 2018   The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining
MLDM 2018   14th International Conference on Machine Learning and Data Mining MLDM 2018
ICDM 2018   18th Industrial Conference on Data Mining ICDM 2018
ICDM 2017   IEEE International Conference on Data Mining 2017
IEEE - ICBDA 2018   2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA 2018)--IEEE Xplore and Ei Compendex
AIAI 2018   14th Artificial Intelligence Applications and Innovations 2018
IEEE TETCI 2018   IEEE Transactions on Emerging Topics in Computational Intelligence Special Issue on Computational Intelligence in Data-Driven Optimization
ICISDM--IEEE Xplore, Ei and Scopus 2018   2018 2nd International Conference on Information System and Data Mining (ICISDM 2018)--IEEE Xplore, Ei and Scopus
INISTA 2018   IEEE International Conference on Innovations in Intelligent SysTems and Applications