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Data Mining and Machine Learning Applications
book

Data Mining and Machine Learning Applications

by Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi
March 2022
Intermediate to advanced content levelIntermediate to advanced
496 pages
12h 39m
English
Wiley-Scrivener
Content preview from Data Mining and Machine Learning Applications

14New Algorithms and Technologies for Data Mining

Padma Bonde1, Latika Pinjarkar2*, Korhan Cengiz3, Aditi Shukla4 and Maguluri Sudeep Joel5

1CSE, SSTC, Bhilai, India

2Shri Shankaracharya Technical Campus SSGI Bhilai, India

3Department of Electrical-Electronics Engineering, Edirne, Turkey

4Guru Ghasidas Vishwavidyala (A Central University) Bilaspur CG, Bhilai, India

5Sreyas Institute of Engineering and Technology, Hyderabad, India

Abstract

Information mining alludes to the disclosure and extraction of examples and information from enormous informational collections of organized and unstructured information. Information mining procedures have been around for a long time, notwithstanding continuous development with ML (Machine Learning). Computer performance, including computational computing, has made knowledge mining techniques easier to update with extensive information collections and business-driven undertakings. Developing ubiquity of information mining in the business investigation and showcasing is likewise because of the expansion of Big Data and Cloud Computing. Massive circulated information bases and strategies for similar preparation of information, for example, MapReduce, make immense volumes of information reasonable and valuable for organizations and the scholarly world. Thus, the expense of putting away and overseeing information is decreased by cloud specialist organizations (CSPs) which compromise a paymore only by way of costs arise ideal towards getting to ...

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Publisher Resources

ISBN: 9781119791782Purchase Link