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The Design And Implementation Of Visual Data Mining Tools

Posted on:2006-05-30Degree:MasterType:Thesis
Country:ChinaCandidate:W S HeFull Text:PDF
GTID:2168360152498451Subject:Software engineering
Abstract/Summary:PDF Full Text Request
The progress made in hardware technology allows today's computer systems to store very large amounts of data.About 1 Million Terabytes of data are generated,of which a large portion is available in digital form.The data is often automatically recorded via sensors and monitoring system.Even simple transactions of everday life,such as paying by credit card or using the telephone,are typically recorded by computers.Usually,many parameters are recorded,resulting in multidimensional data with a high dimensionality.The data of all mentioned areas is collected because people believe that it is a potential source of valuable information,providing a competitive advantage(at some point).Finding the valuable information hidden in them,however,is a difficult task.With today's data management systems,it is only possible to view quite small portions of dataJf the data is presented textually,the amount of data which can be displayed is in the range of some 100 data items,but this is like a drop in the ocean when dealing with data sets containing millions of data items.Having no possibility of adequately exploring the large amounts of data which have been collected because of their potential usefulness,the data becomes useless and the database become data "dumps".For data mining to be effective,it is important to include the human in the data exploration process and combine the flexibility,creativity,and general knowledge of human with the enormous storage capacity and the computational power of today's computers.Visual data mining aims at integrating the human in the data exploration process,applying its perceptual abilities to the large data sets available in today's computer systems.The basic idea of visual data mining is to present the data in some visual form,allowing the human to get insight into the data.Visual data mining techniques have proven to be of high value in exploratory data analysis and they also have high potential for exploring large databases. Visual data mining is especially useful when little is known about the data and the exploration goals are vague.In this paper,firstly,I introduce the background,present state,significance,source,aim,literature of visual data mining tools. Secondly, I...
Keywords/Search Tags:Data Mining Tool, Data Visualization, Visualization Techniques, Architecture
PDF Full Text Request
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