SCDM 2014 - The First International Conference on Soft Computing and Data Mining
Topics/Call fo Papers
Soft Computing became a formal Computer Science area of study in the early 1990's. Earlier computational approaches could model and precisely analyze only relatively simple systems. More complex systems arising is often remained intractable to conventional mathematical and analytical methods. Soft computing refers to a consortium of computational techniques in computer science (like fuzzy systems, neural networks, etc) that deals with imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low solution cost. Soft computing tools, individually or in integrated manner, are turning out to be strong candidates for performing tasks in the area of data mining, decision support systems, supply chain management, medicine, business, financial systems, automotive systems and manufacturing, image processing and data compression, etc.
Data mining is a process involves using the database along with any required selection, preprocessing, subsampling and transformations of it; applying data mining methods to enumerate patterns from it; and evaluating the products of data mining to identify the subset of the enumerated patterns deemed knowledge.
Aim
The First International Conference on Soft Computing and Data Mining (SCDM-2014) is dedicated to address the challenges in the areas of soft computing methodologies for data mining, thereby presenting a consolidated view to the interested researchers in the aforesaid fields. The conference looks for significant contributions to soft computing for knowledge discovery in databases in theoretical and practical aspects.
The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on advanced on soft computing for data mining concepts and establishing new collaborations in these areas.
Organizers
Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia
Data Engineering (DaEng) Research Center
Soft Computing Research Group, Universiti Tun Hussein Onn Malaysia
Co-Organizers
Applied Mathematics and Computer Science (AMCS) Research Center
Software and Multimedia Center, Universiti Tun Hussein Onn Malaysia
Data mining is a process involves using the database along with any required selection, preprocessing, subsampling and transformations of it; applying data mining methods to enumerate patterns from it; and evaluating the products of data mining to identify the subset of the enumerated patterns deemed knowledge.
Aim
The First International Conference on Soft Computing and Data Mining (SCDM-2014) is dedicated to address the challenges in the areas of soft computing methodologies for data mining, thereby presenting a consolidated view to the interested researchers in the aforesaid fields. The conference looks for significant contributions to soft computing for knowledge discovery in databases in theoretical and practical aspects.
The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on advanced on soft computing for data mining concepts and establishing new collaborations in these areas.
Organizers
Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia
Data Engineering (DaEng) Research Center
Soft Computing Research Group, Universiti Tun Hussein Onn Malaysia
Co-Organizers
Applied Mathematics and Computer Science (AMCS) Research Center
Software and Multimedia Center, Universiti Tun Hussein Onn Malaysia
Other CFPs
- International Workshop on MediaEval Benchmarking Initiative for Multimedia
- International Workshop on Event-based Media Integration and Processing
- ACM Multimedia Conference
- International Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
- 2014 Computers and People Research Conference
Last modified: 2013-05-19 13:33:15