Business intelligence and data mining, Edition: First by Maheshwari, Anil

By Maheshwari, Anil

Info Analytics and Data-based Decision-making are sizzling subject matters now. monstrous facts has entered the typical parlance. Many types of information are generated via enterprise, social media, machines, and extra. agencies have a decision: they are often buried less than the avalanche of information, or they could do whatever with it to extend aggressive virtue. a brand new box of knowledge technology is born, and information Scientist has been known as the sexiest task of the last decade. scholars throughout quite a few educational departments, together with company, machine technology, data, and engineering are interested in the belief of gaining knowledge of new insights and ideas from info. it is a notion for a brief and lucid ebook in this complete region. it's designed to supply a pupil with the instinct at the back of this evolving zone, besides a superb toolset of the key info mining options and structures, all inside a unmarried semester- or quarter-long direction

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Decision trees can help doctors learn about and prescribe more effective treatments. Thus, the patients could recover their health faster with a lower risk of complications and cost. Wellness management: This includes keeping track of patient health records, analyzing customer health trends, and proactively advising them to take any needed precautions. Manage fraud and abuse: Some medical practitioners have unfortunately been found to conduct unnecessary tests and/or overbill the government and health insurance companies.

Data from DW provides a useful input for data mining activities. Review Questions 1. What is the purpose of a data warehouse? 2. What are the key elements of a data warehouse? Describe each. 44 BUSINESS INTELLIGENCE AND DATA MINING 3. What are the sources and types of data for a data warehouse? 4. How will data warehousing evolve in the age of social media? Liberty Stores Case Exercise: Step 2 The Liberty Stores company wants to be fully informed about its sales of products and take advantage of growth opportunities as they arise.

It utilizes the knowledge of data quality and data organizing from the databases area. It draws modeling and analytical techniques from statistics and computer science (artificial intelligence) areas. It also draws the knowledge of decision-making from the field of business management. The field of data mining emerged in the context of pattern recognition in defense, such as identifying a friend-or-foe on a battlefield. Like many other defense-inspired technologies, it has evolved to help gain a competitive advantage in business.

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