Non-Intrusive Context Aware Transactional Framework to Derive Business Insights on Big Data

• 作者: P. E. Rubini Siva Chidambaram V. Sellam
• 来源期刊: 信号与信息处理(英文)
• 学科: 医学
• 关键词: CONTEXT Aware PATTERN Recognizer BIG DATA
• 年，卷（期）: 2015,（2）
• 页码范围: 73-78
• 页数: 6页
• 分类号: R73

摘要

To convert invisible, unstructured and time-sensitive machine data into information for decision making is a challenge. Tools available today handle only structured data. All the transaction data are getting captured without understanding its future relevance and usage. It leads to other big data analytics related issue in storing, archiving, processing, not bringing in relevant business insights to the business user. In this paper, we are proposing a context aware pattern methodology to filter relevant transaction data based on the preference of business.