Bigdata 2016 - Special Session: 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.
This special session will focus on the following subjects of interest, as well as related issues:
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