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


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

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Please, check the official conference website for possible changes, before you make any traveling arrangements

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