{"title":"基于数据挖掘原理的数据挖掘中聚类技术的详细研究","authors":"","doi":"10.46243/jst.2020.v5.i6.pp111-124","DOIUrl":null,"url":null,"abstract":"Clustering technique in data mining is a main approach to deal with the data an extraction of useful\npatterns and knowledge from it. Clustering is involved in the datamining process. Datamining is the way of pulling\nout the knowledge, information, useful patterns and a reliable data from a huge gigantic amount of raw data as per\nthe needs of the targeted sector. In technical aspects the Data Mining is a way of finding out the useful patterns from\nthe raw data by using the suitable techniques of statistics, Machine learning, and Database techniques. Data mining\ntarget two major aspects of extraction of meaning full pattern data for concern of large-scale for better\nunderstanding of shapes and profitable patterns of data which impacts globally and the other is small-scale which\ndeals with the lesser impact on the global scale. This paper give a brief overview of Clustering technique under the\nData mining process their features and functionality. Majorly concentrate on Clustering technique and their\nalgorithms with the pro’s & con’s and understand the need of clustering and its importance in Data mining process.\nThe Data mining principle is also explained briefly just to build a base to understand the techniques and their\nimportance which has to be discussed","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detailed Study of Clustering Technique In Data Mining with\\nPrinciple of Data Mining\",\"authors\":\"\",\"doi\":\"10.46243/jst.2020.v5.i6.pp111-124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Clustering technique in data mining is a main approach to deal with the data an extraction of useful\\npatterns and knowledge from it. Clustering is involved in the datamining process. Datamining is the way of pulling\\nout the knowledge, information, useful patterns and a reliable data from a huge gigantic amount of raw data as per\\nthe needs of the targeted sector. In technical aspects the Data Mining is a way of finding out the useful patterns from\\nthe raw data by using the suitable techniques of statistics, Machine learning, and Database techniques. Data mining\\ntarget two major aspects of extraction of meaning full pattern data for concern of large-scale for better\\nunderstanding of shapes and profitable patterns of data which impacts globally and the other is small-scale which\\ndeals with the lesser impact on the global scale. This paper give a brief overview of Clustering technique under the\\nData mining process their features and functionality. Majorly concentrate on Clustering technique and their\\nalgorithms with the pro’s & con’s and understand the need of clustering and its importance in Data mining process.\\nThe Data mining principle is also explained briefly just to build a base to understand the techniques and their\\nimportance which has to be discussed\",\"PeriodicalId\":23534,\"journal\":{\"name\":\"Volume 5, Issue 4\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Volume 5, Issue 4\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46243/jst.2020.v5.i6.pp111-124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 5, Issue 4","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46243/jst.2020.v5.i6.pp111-124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detailed Study of Clustering Technique In Data Mining with
Principle of Data Mining
Clustering technique in data mining is a main approach to deal with the data an extraction of useful
patterns and knowledge from it. Clustering is involved in the datamining process. Datamining is the way of pulling
out the knowledge, information, useful patterns and a reliable data from a huge gigantic amount of raw data as per
the needs of the targeted sector. In technical aspects the Data Mining is a way of finding out the useful patterns from
the raw data by using the suitable techniques of statistics, Machine learning, and Database techniques. Data mining
target two major aspects of extraction of meaning full pattern data for concern of large-scale for better
understanding of shapes and profitable patterns of data which impacts globally and the other is small-scale which
deals with the lesser impact on the global scale. This paper give a brief overview of Clustering technique under the
Data mining process their features and functionality. Majorly concentrate on Clustering technique and their
algorithms with the pro’s & con’s and understand the need of clustering and its importance in Data mining process.
The Data mining principle is also explained briefly just to build a base to understand the techniques and their
importance which has to be discussed