Special Session on Big Data Search and Mining

“Big Data” refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. Big Data is going to continue growing during the next years. The Special session on Big Data Search and Mining aims to bring together researchers from both industry and academia to participate and present their work related to various aspects of big data mining and search.

Prospective authors are invited to submit original technical papers for presentation at the conference and publication in the proceedings. Submitted papers should report on original research work that falls within the scope of the special session. Authors should submit their papers online via 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

Special Session topics include, but are not limited to:​

  • Algorithms and Systems for Big Data Search
  • Big Data Classification Techniques
  • Big Data Clustering Algorithms
  • Big Data Mining and Security Intelligence
  • Big Data Mining in the Cloud
  • Big Data Search Architectures
  • Big Data Search Scalability and Efficiency
  • Compression and Sampling
  • Data Integration, Aggregation, and Representation
  • Data Mining Security for Big Data
  • Distributed and Peer-To-Peer Search
  • Dynamic Predictive Models
  • Evaluation Technologies
  • Frequent Itemsets
  • Large-Scale Analytical Query Processing
  • Large-Scale Recommendation Systems and Social Media Systems
  • Link and Graph Mining
  • Mining Big Data in Real Time
  • Mining Social-Network Graphs
  • Mobility and Big Data
  • Multimedia and Multi-Structured Data
  • Optimizing Big Data with Search
  • Parallel and Distributed Algorithms for Frequent Pattern Mining
  • Privacy in Big Data Mining
  • Query Processing, Data Modeling, and Analysis
  • Scalable Mining of Heterogeneous Social and Information Networks
  • Semantic-Based Data Mining and Data Pre-Processing
  • Social Web Search and Mining
  • Streaming Data Processing
  • Visualization for Big Data

All submissions will be thoroughly peer-reviewed by experts in the field based on originality, significance and clarity, only papers presenting novel research results or successful innovative applications are considered for publication in the conference proceedings. 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..

Technical Program Committee
Mohamed A. Azim, Taibah University, Saudi Arabia
Fereidoun A. Mianji, Iranian Nuclear Regulatory Authority, Iran
Zaher Aghbari, University of Sharjah, UAE
Muhammad Usman Akram, CEME NUST, Pakistan
Ashraf S, IIITMK, India
Sheng-Wei Wang, Fo Guang University, Taiwan
Mohammad Zarour, Prince Sultan University, Saudi Arabia
Hervé Chabanne, Morpho, France
Fethi Farhani, University of Tunis, Tunisia
Roberto Herrera Lara, National Polytechnic School, Ecuador
Deepak Mehta, University College Cork, Ireland
Sarvesh Sharma, BITS-Pilani, India
Rajiv Singh, University of Allahabad, India
Chih-Chin Lai, National University of Kaohsiung, Taiwan
Fabrizio Lamberti, Politecnico di Torino, Italy
Yiming Li, National Chiao Tung University, Taiwan
Geng Yang, Nanjing University of Posts and Telecommunications, P.R. China

Key Dates

 Paper Submission Ends

May 11, 2015 (Firm)

 Acceptance Notification

May 25, 2015

 Final Paper Deadline

June 25, 2015





Organized by

Technical Co-sponsors

IEEE Logo IEEE ComSoc   INNS India ACM Trivandrum Chapter 

ACM Trivandrum Chapter