Data Mining and Machine Learning Applications
by Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi
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 ...