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End date: 2020Subject: search.filters.subject.Data mining

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    STUDY ON TOOLS AND TECHNIQUES TO MANAGE THE TEXTILE QUALITY CONTROL
    (PSGR Krishnammal College for Women, 2017-02) Selvanayaki M
    In recent years, the rapid development in IT applications like MIS, ERP, Network, Multimedia and Data Mining etc. are indispensable tools to boost productivity and drive maximum benefits that has ushered in a revolution in manufacturing and interactive marketing across the globe.The aim of this study is to elaborate how the textile industry can manage to improve their production capacity and resources to increase customer demands regarding individualized products with good quality using data mining tools and techniques. Data mining analysis offers many potential to improve the Quality control in manufacturing process and to enhance the usefulness of existing data.
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    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.
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    STUDY ON TOOLS AND TECHNIQUES TO MANAGE THE TEXTILE QUALITY CONTROL
    (PSGR Krishnammal College for Women, 2017-04-02) Selvanayaki M; Anushya Devi T S
    In recent years, the rapid development in IT applications like MIS, ERP, Network, Multimedia and Data Mining etc. are indispensable tools to boost productivity and drive maximum benefits that has ushered in a revolution in manufacturing and interactive marketing across the globe.The aim of this study is to elaborate how the textile industry can manage to improve their production capacity and resources to increase customer demands regarding individualized products with good quality using data mining tools and techniques. Data mining analysis offers many potential to improve the Quality control in manufacturing process and to enhance the usefulness of existing data.
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    DATA MINING
    (Dr.SNSRajalakshmi College Of Arts and Science,Coimbatore, 2014-02-28) S, Anushya Devi; N B, Haeshmietha
    Data mining on large databases has been a major concern in research community, due to the difficulty of analyzing huge volumes of data using only traditional OLAP tools. This sort of process implies a lot of computational power, memory and disk I/O, which can only be provided by parallel computers. The database technology can be integrated to data mining techniques. Finally, we can also point out several advantages of addressing data consuming activities through a tight integration of a parallel database server and data mining techniques.