Open AccessTechniques for the Discovery of Patterns Hidden in Large Data Sets and Process Flow of Data Mining
Author(s) -
Basam Bala Sai Krishna,
Kauda Bhanu Prasad
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7064.129219
Subject(s) - computer science , data science , data mining , newspaper , cluster analysis , scalability , process (computing) , business process discovery , variety (cybernetics) , data stream mining , process mining , service (business) , knowledge extraction , business process , database , business , advertising , marketing , artificial intelligence , business process management , work in process , business process modeling , operating system
Data mining procedures are used to find the concealed or brand new patterns to keep the information. We know that data mining can utilize every sector like service, farming, advertising and marketing etc. There are numerous methods for data mining like clustering, distinction, and so on. There are a variety of techniques and also procedures of data mining which could be used on information to build up a brand new setting to enhance the efficiency of existing data and aid to make the brand-new prophecies on the records. Within this newspaper, our team provide procedures for the discovery of patterns concealed in sizable records sets, paying attention to problems relating to their usefulness, effectiveness, effectiveness, and scalability.