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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