The 6th International Conference on Extreme Learning Machines (ELM2015) Shangri-La Hotel, Hangzhou, China December 15 – 17, 2015 Organized by Nanyang Technological University, Singapore Co-Organized by Zhejiang University, China; Tsinghua University, China Extreme Learning Machines (ELM) aim to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM […]
Posts Tagged ‘Big data analytics’
6th International Conference on Extreme Learning Machines (ELM2015)
June 13th, 2015 
CI2S Enterprise Content Admin 
Posted in China, Congress, Country 
Tags: Big data analytics, Biological learning mechanism, Dimensionality reduction, Extreme Learning Machines, Machine Learning and Biological Learning, matrix factorization, Random projection, Real-time learning, reasoning and cognition 
Comments Off on 6th International Conference on Extreme Learning Machines (ELM2015)DATA ANALYTICS 2015, The Fourth International Conference on Data Analytics
February 25th, 2015 CI2S Enterprise Content Admin Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to DATA ANALYTICS 2015. The submission deadline is extended to March 12, 2015. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== […]
Posted in Congress, Country, France Tags: Analytics visualization, Applications of sentiment analysis. Application-oriented analytics, Architectures for generic sentiment analysis systems, Aspect-based analysis, Big data analytics, Big Data Analytics and Metrics, Big Data and social networks, Big Data economics Huge data, Big Data persistence and preservation, Big Data platforms, Big Data processing and management, Big Data search and mining, Branding analytics, Business analytics, Clustering, Comparative-sentiment analysis, Computational Intelligence for Huge Data, Crawling web services, Cross-database analytics, Cyber-threats analytics, Deep data analytics, Document-level analysis, dropping and filtering data, etc.), Failure on data analytics Sentiment/opinion analysis, Financial risk management, Food-borne illness outbreaks analytics Big Data, Forecast analytics, Foundational models for Big Data, frameworks and mechanisms for data analytics, Fundamentals for data analytics, Geology analytics, Global climate analytics, Google/FaceBook/Twitter/etc. analytics, graph, High-performance data analytics Mechanisms and features, Homecare analytics, In-database analytics, Knowledge Discovery from Huge Data, Legal issues analytics, Linked Huge Data, Malware analytics, Mass data analytics, Mining user logs, Multi-modal support for data analytics, Nomad analytics, Online employment analytics, Open API for data analytics, Optimizing sentiment analysis algorithms, Population growth and migration analytics, Pre-built analytics (pattern, Predictive analytics, Relevant/redundant/obsolete data analytics, Remote learning analytics, Reputation analytics, ROI analytics Target analytics, Scalable data analytics, Security Intelligence with Huge Data, Sentence-level analysis, Sentiment analysis techniques on social media, Sentiment lexicon acquisition, Simulation applications, statistical analysis, Statistical applications, Storing, Survey-based online asset analytics, time-series, Tools, Trust in data analytics, User choice analytics, Utility proximity-search analytics, Volume vs. semantics analytics Comments Off on DATA ANALYTICS 2015, The Fourth International Conference on Data AnalyticsThe 6th International Conference on Extreme Learning Machines (ELM2015)
February 2nd, 2015 CI2S Enterprise Content Admin The 6th International Conference on Extreme Learning Machines (ELM2015) Hangzhou, China, December 15 – 17, 2015 Organized by Nanyang Technological University, Singapore Co-Organized by Zhejiang University, China; Tsinghua University, China Extreme Learning Machines (ELM) aim to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM represents […]
Posted in China, Congress, Country Tags: Big data analytics, Biological Learning, Biological learning mechanism, Classification, convergence, Extreme Learning Machines, Machine learning, Universal approximation Comments Off on The 6th International Conference on Extreme Learning Machines (ELM2015)DATA ANALYTICS 2015, The Fourth International Conference on Data Analytics
September 12th, 2014 CI2S Enterprise Content Admin ============== DATA ANALYTICS 2015 | Call for Papers ===============CALL FOR PAPERS, TUTORIALS, PANELSDATA ANALYTICS 2015, The Fourth International Conference on Data AnalyticsJuly 19 – 24, 2015 – Nice, FranceGeneral page: http://www.iaria.org/conferences2015/DATAANALYTICS15.htmlCall for Papers: http://www.iaria.org/conferences2015/CfPDATAANALYTICS15.htmlSubmission page: http://www.iaria.org/conferences2015/SubmitDATAANALYTICS15.htmlContributions:– regular papers [in the proceedings, digital library]– short papers (work in progress) [in the proceedings, digital library]– ideas: two pages [in the proceedings, […]
Posted in Congress, Country, France Tags: Applications of sentiment analysis. Application-oriented analytics, Architectures for generic sentiment analysis systems, Aspect-based analysis, Big data analytics, Big Data Analytics and Metrics, Big Data and social networks, Big Data economics Huge data, Big Data persistence and preservation, Big Data platforms, Big Data processing and management, Big Data search and mining, Branding analytics, Business analytics, Comparative-sentiment analysis, Computational Intelligence for Huge Data, Crawling web services, Cross-database analytics, Cyber-threats analytics, Deep data analytics, Document-level analysis, dropping and filtering data, Failure on data analytics Sentiment/opinion analysis, Financial risk management, Food-borne illness outbreaks analytics Big Data, Forecast analytics, Foundational models for Big Data, Geology analytics, Global climate analytics, Homecare analytics, Knowledge Discovery from Huge Data, Legal issues analytics, Linked Huge Data, Malware analytics, Mass data analytics, Mining user logs, Nomad analytics, Online employment analytics, Optimizing sentiment analysis algorithms, Population growth and migration analytics, Predictive analytics, Relevant/redundant/obsolete data analytics, Remote learning analytics, Reputation analytics, ROI analytics Target analytics, Scalable data analytics, Security Intelligence with Huge Data, Sentence-level analysis, Sentiment analysis techniques on social media, Sentiment lexicon acquisition, Simulation applications, Statistical applications, Storing, Survey-based online asset analytics, Trust in data analytics, User choice analytics, Utility proximity-search analytics, Volume vs. semantics analytics Comments Off on DATA ANALYTICS 2015, The Fourth International Conference on Data AnalyticsSpecial Issue on “New Trends of Learning in Computational Intelligence”
August 5th, 2014 CI2S Enterprise Content Admin Call for Papers IEEE Computational Intelligence Magazine Special Issue on “New Trends of Learning in Computational Intelligence” A special issue of the IEEE Computational Intelligence Magazine (IEEE CIM) will be dedicated to New Trends of Learning in Computational Intelligence. Prospective authors are invited to submit their original unpublished research and application contributions. Comprehensive tutorial and […]
Posted in Books & Libraries Tags: Autonomous Systems, Big data analytics, Biologically-inspired natural language processing, Closed form and non-closed form solutions, Clustering and feature extraction / selection, Cognitive science / computation, Extreme learning machines (ELM), Fast implementation of deep learning, Multiple hidden layers solutions and random networks, No-Prop algorithms, Parallel and distributed computing / cloud computing, random kitchen sinks, Real-time learning, reasoning and cognition, Sequential / incremental learning, Theoretical foundations and algorithms Comments Off on Special Issue on “New Trends of Learning in Computational Intelligence”