The Third International Conference on Data Mining, Internet Computing, and Big Data (BigData 2016)

The Third International Conference on Data Mining, Internet Computing, and Big Data (BigData 2016) covers topics such as:

• Data Mining Integration & Process
  • Metadata and ontologies
  • Distributed and grid based data mining
  • Attribute discretization and encoding
  • Mining large scale data
  • Model interpretation
  • Feature selection and transformation
  • Data cleaning and preparation
• Data Mining Tasks & Algorithms
  • Mining text and semi-structured data
  • Explorative and visual data mining
  • Segmentation/Clustering/Association
  • Multimedia mining (audio/video)
  • Artificial neural networks
  • Web mining
  • Evolutionary computation/meta heuristics
  • Link and sequence analysis
• Internet Computing
  • Digital libraries/digital image collections
  • Design and analysis of internet protocols and engineering
  • Grid based computing and internet tools
  • Electronic commerce and internet
  • Internet and video technologies
  • Internet and emerging technologies
  • Internet banking systems
  • Internet applications and appliances
  • Internet law and compliance
  • Internet based decision support systems
  • Markup Languages
  • Internet security and trust
  • Mobile computing and the internet
  • Metacomputing
  • Novel Java applications on internet
  • Network architectures and network computing
  • Search engines
  • Quality of service
  • The WWW and intranets
  • Social networks
  • Web based computing
  • The internet and Cloud computing
  • Web site design and coordination
  • Web interfaces to databases
• Data Mining Applications
  • Business/Corporate/Industrial Data Mining
  • Bioinformatics
  • Data Mining in Logistics
  • Credit Scoring
  • Direct Marketing
  • Database Marketing
  • Medicine Data Mining
  • Engineering Mining
  • Security Data Mining
  • Military Data Mining
  • Time series analysis and visualization
  • Social Science Mining
  • Association rule learning
  • Anomaly detection
  • Cloud based infrastructure (applications, storage and resources)
  • Classification
  • Crowd-sourcing
  • Cluster analysis
  • Data-mining grids
  • Data fusion and integration
  • Distributed file systems
  • Distributed databases
  • Genetic algorithms
  • Ensemble learning
  • Massively parallel-processing (MPP) databases
  • Machine learning
  • Neural networks
  • Natural language processing
  • Predictive modeling
  • Pattern recognition
  • Sentiment analysis
  • Search-based applications
  • Simulation
  • Signal processing
  • Supervised and unsupervised learning

The Third International Conference on Data Mining, Internet Computing, and Big Data (BigData 2016) brings together researchers in the fields of Data Mining, Internet Computing, and Big Data.