National Conference

Permanent URI for this collectionhttps://dspace.psgrkcw.com/handle/123456789/153

Browse

Filters

20193

Settings

Author: search.filters.author.S, KavithaEnd date: 2020

Search Results

Now showing 1 - 3 of 3
  • No Thumbnail Available
    Item
    AN ANALYSIS ON CROP YIELD PREDICTION USING DATA MINING TECHNIQUES
    (Karpagam Academy of Higher Education, 2019-09-27) S, Kavitha; G, Sangeetha
    In day to day life the requirement of food is increasing at rapid rate and hence the farmers, government and researchers are using several techniques in agriculture for the improvement in production. Plants are usually affected by a many pests and diseases. In the process of resolving agricultural issues the concepts of data mining plays a fundamental part. Research in agriculture is increasing due to development of technologies and forth coming challenges [1]. In improving the general growth of a country the plant disease detection has an important place. Diseases in plants, production and loss can be predicted with the help of data mining approaches like classification. The future trends in agricultural processes can be forecasted with the Data mining techniques. Generally the damages were examined by using classifiers namely SVM , K-Nearest Neighbor, Decision Tree, Random Forest, Naive Bayes and so on. [13].
  • No Thumbnail Available
    Item
    A STUDY ON DATA MINING IN HEALTH CARE
    (Sri Krishna Arts and Science College, 2019-02-13) S, Kavitha; K, Sarojini
    The amount of data produced from Health care industry is huge which consists of information about patients and their medical history. Data mining emerges with techniques for discovering and extracting information from the data warehouse. Thus the hidden information’s can be discovered with the help of data mining techniques. Such techniques when implemented in healthcare field for decision making, it paves the way for improvement of treatment standard and also increases the survival rate of patients. The Healthcare data needs to be examined accurately in order to diagnosis the disease correctly and to provide with appropriate treatments.
  • No Thumbnail Available
    Item
    A STUDY ON BASICS OF DATA MINING
    (Bharathiar University, 2019-01-24) S, Kavitha; K, Sarojini
    Data Mining is the process of collecting data from various resources and then constructing useful structure of information. It is also defined as process of investigating the previously existing database and generating new information and models which is known as Knowledge Discovery in Database (KDD). Various types of data mining techniques and algorithms can applied in order to derive the required patterns. The main objective of this paper is to examine the concept of data mining, review the techniques used in data mining, the main application areas data mining and algorithms used to derive the patterns.