IIMM 2015 - International Workshop on Intelligent Information Mining and Management

International Workshop on Intelligent Information Mining and Management (IIMM2015)
Co-located with the IEEE International Conference on Cloud and Big Data (CBD 2015)
August 10, 2015 * Beijing, China
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The IIMM workshop provides a forum for researchers and practitioners to share and present their insights and experiences on the problems at data intelligence and cloud computing. IIMM workshop welcomes researchers, industry people, and students to participate in.
Web site: http://www.cybermatics.org/SWC2015/Workshops/IIMM2...
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Topics of Interest
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With the increasing of data, we face many new problems in industry and in our daily life. New data mining and machine learning techniques can help us discover high-quality knowledge from data. Cloud computing techniques can support complex knowledge discovery jobs by managing processing the large-scale data efficiently. The theme of IIMM this year will be ‘How data make our daily life and industry intelligent’. Of particular interest are novel methods for discovering knowledge from large-scale data and novel designs for applying data intelligence. However, papers on all aspects of the data management, data mining, machine learning, and cloud computing will be solicited.
Topics of interest include (but are not limited to):
* Novel data mining algorithms and foundations
* Innovative applications of data mining
* Data mining and KDD systems and frameworks
* Mining data streams and sensor data
* Mining multi-media, graph, spatio-temporal and semi-structured data
* High performance and parallel/distributed data mining
* Visual data mining and data visualization
* Data privacy and security
* Data quality, cleaning and lineage
* Data warehousing
* Managing uncertain, imprecise and inconsistent information
* Parallel, distributed and cloud-based databases
* Personalized information systems
* New data management architectures
* Categorization, clustering, and filtering
* Information extraction and summarization
* Social network analysis
* Digital image processing
* Video image processing