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Data Mining as a Technique for Automated Software Testing

Data Mining as a Technique for Automated Software Testing

by Dr. Sarita Sharma (Author)

Rs. 950/-

Book Details

  • Hard Bound: 305 pages
  • Publisher: APST Publication
  • Publication Year: 2015
  • Language: English
  • Edition: 1st
  • ISBN-13: 978-81-930164-7-3
  • Product Dimensions: 14.5 x 22.5 cm
  • Average Customer Review: Be the first to review this item

Description

Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD), an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data preprocessing, model and inference considerations, interestingness metrics, complexity considerations, postprocessing of discovered structures, visualization, and online updating.
The term is a buzzword, and is frequently misused to mean any form of large-scale data or informat ion processing (collection, extraction, warehousing, analysis, and statistics) but is also generalized to any kind of computer decision support system, including artificial intelligence, machine learning, and business intelligence. In the proper use of the word, the key term is discovery, commonly defined as "detecting something new".