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-1- ISO/IEC JTC 1 Study Group on Big Data (SGBD) Document Type: National Body Contribution Document Title: CNNB Proposal on Big Data Topics – Data analytics and mining in SGBD Report to JTC 1 source: China National Body Document Status: Action ID: ACT No. of Pages: 1 Author(s) or Lili Yang, Huawei Contact(s): [email protected] Source: China National Body -2Proposal 1: Add following item into Table 3 in Clause 8 Big Data Topics ① Big Data Analytics and mining Candidate work items Big Data – Big Data analytics and mining Proposal 2: Add the following table in Appendix II. Topics & Technologies Relevant to Big Data Standardization Goals and Objectives Topic Description Big Data analytics and mining Big Data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits. Big data analytics can be done with the software tools as part of advanced analytics disciplines such as data mining. But the unstructured data sources used for big data analytics may not fit in traditional data warehouses. Furthermore, traditional data warehouses may not be able to handle the processing demands posed by big data. As a result, the standardization of new class of big data technology is needed with the aim to achieve the following: A. Provide general analytical algorithm framework that a big data source implements B. Define possible language for data mining that would be used in big data analytics C. Standardization of big data analytics function and interfaces to support portability and interoperability High-level figure describing the use case(with actors) Big Data Characteristics All, in fact this effort should result in clear definitions of all the Big Data characteristics. -3Related standards and standardization activities Relevant Standards: OASIS: UIMA,stands for Unstructured Information Management Architecture Data Mining Group: PMML, Predictive Model Markup Language Standardization activities: Standardization Issues and priority none Candidate new work item with a priority Information Technology – Big Data –Big Data analytics and mining