Big Data and Data Mining 2015

OMICS Group announces all the participants across the globe to attend the International Conference on Big data analysis and Data Mining during May 04-06, 2015 Lexington, USA with the theme to discuss, share and explore through the accelerating research and advances in Data Mining. The aim of Data Mining-2015 meeting is to bring together a group of scientists and engineers to present and exchange breakthrough ideas relating to the field of computer applied physics and applications of quantum optics, soft matters, organic electronics and other various fields of computer science and material science. It promotes with enhanced knowledge and improves the research quality and to globalize the discussions, presentations and contributions by renowned speakers thereby focusing on the outstanding achievements and advances in the field of Data Mining.

Data Mining is an analytic process with great potential, designed to explore large amounts of data also known as “big data” and search for consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to form new subsets of data. It is an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, business intelligence, statistics, high performance computing and database systems. The ultimate goal of data mining is prediction that has the most direct business applications. Data mining software is one of a number of analytical tools for analyzing big data. Data mining applications applies to fields like biology, business, marketing, medicine, astronomy, finance, insurance and many other fields.


  • Novel Theoretical Models for Big Data
  • New Computational Models for Big Data
  • Big Data Search and Mining
  • Visualization Analytics for Big Data
  • Computational Modeling and Data Integration
  • Semantic-based Data Mining and Data Pre-processing
  • Big Data Application in Science, Engineering and Medicine
  • Advanced Database and Web Application
  • Big Data Security and Privacy
  • Interface to Database Systems and Software Systems

Conference web page