DM 2014 - International Workshop on Data Mining (DM 2014)
Topics/Call fo Papers
We are witnessing an exponential increase in the amount of data we generate at a point where our ability to process and understand data lags far behind the deluge of data we are faced with. The unstoppable data creation is accelerated at an unthinkable rate by the billions of users of popular social networks, such as Facebook, Twitter, and Weibo, that encourage users to post, upload, and comment about everyone and everything. Only at the time you are reading this paragraph, more than 100 hours of video content is uploaded on YouTube, or millions of messages and pictures are taken and sent via smartphones. We are confronted with a formidable ocean of data, which we need to mine in order to improve our life, discover new knowledge, and better understand the world and complex phenomena.
This workshop aims to bring together people from both academia and industry to present their most recent work on data mining, and exchange ideas and thoughts in order to advance the frontier of data exploration, mining, and understanding, thus uncovering hidden facts and patterns and turning the data into actionable knowledge.
Topics of interest
Topics of interest include but are not limited to:
Novel algorithms in classification, regression, clustering, and association analysis
Case studies and applications in chemistry, biology, environment, and other scientific domains
Mining sequences and sequential data
Mining spatial and temporal datasets
Mining textual and unstructured databases
High performance/Distributed data mining
Mining sensor data
Mining social networks
Mining healthcare and clinical research data
Recommender Systems
Data reduction, feature selection and transformation
Data visualization
Security, privacy, and data integrity
Bioinformatics and computational chemistry
Computational finance
Intrusion detection, fraud prevention, and surveillance
This workshop aims to bring together people from both academia and industry to present their most recent work on data mining, and exchange ideas and thoughts in order to advance the frontier of data exploration, mining, and understanding, thus uncovering hidden facts and patterns and turning the data into actionable knowledge.
Topics of interest
Topics of interest include but are not limited to:
Novel algorithms in classification, regression, clustering, and association analysis
Case studies and applications in chemistry, biology, environment, and other scientific domains
Mining sequences and sequential data
Mining spatial and temporal datasets
Mining textual and unstructured databases
High performance/Distributed data mining
Mining sensor data
Mining social networks
Mining healthcare and clinical research data
Recommender Systems
Data reduction, feature selection and transformation
Data visualization
Security, privacy, and data integrity
Bioinformatics and computational chemistry
Computational finance
Intrusion detection, fraud prevention, and surveillance
Other CFPs
- International Workshop on Communications and Network Theory (CNT 2014)
- International Workshop for Collaborative e-Business Systems (IWCBS 2014)
- International Workshop on Adaptive Systems for Collaborative Learning (IWASCL 2014)
- International Workshop on Motion Capture and Classification (MC2 2014)
- International Workshop on Information Network Design (WIND 2014)
Last modified: 2014-03-01 16:34:57