Data mining and knowledge engineering最新文献

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Dynamic Analysis of Web System by Using Model-Based Testing and Process Crawler Model 基于模型测试和过程爬虫模型的Web系统动态分析

Data mining and knowledge engineering Pub Date : 2017-06-30 DOI: 10.18535/IJECS/V6I6.47

Nayan Mulla, S. Takmare

引用次数: 0

A Survey on Various Online Payment and Billing Techniques 关于各种在线支付和计费技术的调查

Data mining and knowledge engineering Pub Date : 1900-01-01 DOI: 10.34293/sijash.v7i3.1374

A. Thangamuthu

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引用次数: 4

Data Mining Concepts and Techniques 数据挖掘的概念和技术

Data mining and knowledge engineering Pub Date : 1900-01-01 DOI: 10.5860/choice.49-3305

S. Gnanapriya, R. Suganya, G. Devi, M. S. Kumar

{"title":"Data Mining Concepts and Techniques","authors":"S. Gnanapriya, R. Suganya, G. Devi, M. S. Kumar","doi":"10.5860/choice.49-3305","DOIUrl":"https://doi.org/10.5860/choice.49-3305","url":null,"abstract":"Understand the need for analyses of large, complex, information-rich data sets. Identify the goals and primary tasks of the data-mining process. Describe the roots of data-mining technology. Recognize the iterative character of a data-mining process and specify its basic steps. Explain the influence of data quality on a data-mining process. Establish the relation between data warehousing and data mining. Data mining is an iterative process within which progress is defined by discovery, through either automatic or manual methods. Data mining is most useful in an exploratory analysis scenario in which there are no predetermined notions about what will constitute an \"interesting\" outcome. Data mining is the search for new, valuable, and nontrivial information in large volumes of data. It is a cooperative effort of humans and computers. Best results are achieved by balancing the knowledge of human experts in describing problems and goals with the search capabilities of computers. In practice, the two primary goals of data mining tend to be prediction and description. Prediction involves using some variables or fields in the data set to predict unknown or future values of other variables of interest. Description, on the other hand, focuses on finding patterns describing the data that can be interpreted by humans. Therefore, it is possible to put data-mining activities into one of two categories: Predictive data mining, which produces the model of the system described by the given data set, or Descriptive data mining, which produces new, nontrivial information based on the available data set.","PeriodicalId":377883,"journal":{"name":"Data mining and knowledge engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116696275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3514