Special Session on Advances in Data and Knowledge Engineering

The amount of data produced across the globe has been growing exponentially and will continue to grow at an accelerating rate for the foreseeable future. Given the rising complexity of data, the need for proficient data engineering techniques for acquiring valuable information from the data has never been greater. Knowledge is central to modern society. The Knowledge Engineering refers to all aspects involved in building, maintaining and using knowledge-based systems which contain large amounts of knowledge, rules and reasoning mechanisms to provide solutions to real-world problems. The special session on Advances in Data and Knowledge Engineering provides a forum to communicate results of new developments in data and knowledge engineering. 
The organizers invite original and unpublished work from individuals active in the broad theme of the Special Session. Authors should submit their papers online using EDAS. Unregistered authors should first create an account on EDAS to log on. Further guidelines for submission are posted at: http://icacci-conference.org/web/call-for-papers
EDAS Submission Link
Topics of interest include but not limited to:
  • Big Data and Data-Warehousing System Architectures
  • Classification, Projection, Regression, Optimization Clustering
  • Data Integration, Metadata Management, and Interoperability
  • Data Mining and Knowledge Discovery
  • Database Design and Modeling
  • Database Security, Personalization, Recommendation
  • Database System Internals, Performance, Self-tuning Benchmarking and Testing
  • Distributed, Parallel, Grid, P2P, Cloud Databases
  • Feature Selection and Extraction
  • Flash and Main Memory Data
  • High Performance Transaction Management
  • Human-Machine Cooperation
  • Information Fusion
  • Information Retrieval and Information Extraction
  • In-Memory Database Architecture and Systems
  • Online Advertising
  • Query Processing, Indexing, and Optimization
  • Self-Managing Database Systems
  • Semi-structured, Web, and Linked Data Management
  • Social Networks, Social Web, Graph, and Personal Information Management
  • Streams and Sensor Networks
  • Strings, Texts, and Keyword Search
  • Temporal, Spatial, Mobile, and Multimedia Data
  • Web and Social Media Analysis
  • Web Databases, Ontology Based Databases
  • Architectures for Knowledge and Data Based Systems
  • Knowledge and Data Engineering Tools and Techniques
  • Knowledge Reengineering
  • Knowledge Representation
  • Knowledge Based Software Engineering
  • Web-Based Knowledge Management
  • Recommender Systems
  • Uncertainty Knowledge Management
  • Visual Data Analytics
  • Knowledge Discovery
All papers that conform to submission guidelines will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. The manuscripts should be submitted in PDF format. Acceptance of papers will be communicated to authors by email. At least one full paying author of each accepted paper must register for the Conference before the indicated deadline. Accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.
Key Dates
Paper Submission Ends:  May 11, 2015 (Firm)
Acceptance Notification: May 25, 2015
Final Paper Deadline: June 25, 2015
Seiki Akama, Tsukuba University, Japan
Rashid Ali, College of Computers and Information Technology, Taif University, Saudi Arabia
Mazin Alshamrani, University of Surrey, United Kingdom
Dariusz Barbucha, Gdynia Maritime University, Poland
Pierre Borne, Ecole Centrale de Lille, France
Ram Chakka, Meerut Institute of Engineering and Technology, India
Suphamit Chittayasothorn, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Ireneusz Czarnowski, Gdynia Maritime University, Poland
Omid Mahdi Ebadati E., Hamdard University, India
Dariusz Gasior, Wroclaw University of Technology, Poland
Roberto Herrera Lara, National Polytechnic School, Ecuador
Avinash Jha, OppCorp Learning & Development Private Limited, India
Arkadiusz Kawa, Poznan University of Economics, Poland
Lie Lu, Dolby, USA
Edwin Lughofer, University of Linz, Austria
Kazumi Nakamatsu, University of Hyogo, Japan
Vuong M. Ngo, Ho Chi Minh City Open University, Vietnam
Beatriz Sainz, University of Valladolid, Spain
Nandakishore Santhi, Los Alamos National Laboratory, USA
Shahid Shah, Indian Institute of Science, India
Chokri Souani, University of Sousse, Tunisia
Fan Wang, Microsoft, USA
Hao Wang, The Chinese University of Hong Kong, Hong Kong
Michał Woźniak, Wroclaw University of Technology, Poland

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Technical Co-sponsors

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ACM Trivandrum Chapter