圖書標籤: 數據挖掘 mining data DataMining
发表于2024-09-19
Introduction to Data Mining pdf epub mobi txt 電子書 下載 2024
Introduction
Rapid advances in data collection and storage technology have enabled or
ganizations to accumulate vast amounts of data. However, extracting useful
information has proven extremely challenging. Often, traditional data analy
sis tools and techniques cannot be used because of the massive size of a data
set. Sometimes, the non-traditional nature of the data means that traditional
approaches cannot be applied even if the data set is relatively small. In other
situations, the questions that need to be answered cannot be addressed using
existing data analysis techniques, and thus, new methods need to be devel
oped.
Data mining is a technology that blends traditional data analysis methods
with sophisticated algorithms for processing large volumes of data. It has also
opened up exciting opportunities for exploring and analyzing new types of
data and for analyzing old types of data in new ways. In this introductory
chapter, we present an overview of data mining and outline the key topics
to be covered in this book. We start with a description of some well-known
applications that require new techniques for data analysis.
Business Point-of-sale data collection (bar code scanners, radio frequency
identification (RFID), and smart card technology) have allowed retailers to
collect up-to-the-minute data about customer purchases at the checkout coun
ters of their stores. Retailers can utilize this information, along with other
business-critical data such as Web logs from e-commerce Web sites and cus
tomer service records from call centers, to help them better understand the
needs of their customers and make more informed business decisions.
Data mining techniques can be used to support a wide range of business
intelligence applications such as customer profiling, targeted marketing, work
flow management, store layout, and fraud detection. It can also help retailers
Pang-Ning Tan現為密歇根州立大學計算機與工程係助理教授,主要教授數據挖掘、數據庫係統等課程。此前,他曾是明尼蘇達大學美國陸軍高性能計算研究中心副研究員(2002-2003)。
Michael Steinbach 明尼蘇達大學計算機與工程係研究員,在讀博士。
Vipin Kumar明尼蘇達大學計算機科學與工程係主任,曾任美國陸軍高性能計算研究中心主任。他擁有馬裏蘭大學博士學位,是數據挖掘和高性能計算方麵的國際權威,IEEE會士。
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我的习惯就是在蹲坑的时候读一些艰涩高深的科学读物,这样有助于我在排泄的时候大脑保持高度的兴奋状态,不至于被熏晕或者不至于被引人入胜的小说情节所陶醉最后导致肛瘘…… 但是,这本书另我惊诧了…… 第一他不艰涩,是我读到过的关于统计、关于数据、关于计算的最科普的读...
評分屎一样狗屁不通的翻译。 原文: As a result, Z is as likely to be chosen for splitting as the interacting but useful attributes, X and Y. 译文:因此,Z 可能被选作划分有相互作用但有效的属性 X 和 Y。 还有其他很多地方就不一一列举了,本来作为入门读物,很多东西就...
評分看我截图吧 http://weibo.com/1677386655/zu8O4ci9O therefore, if we compute the k-dist for all the data points for some k, sort them in increasing order, and ther plot the sorted values, we expect to see a sharp change at the value of k-dist that correspon...
評分我的习惯就是在蹲坑的时候读一些艰涩高深的科学读物,这样有助于我在排泄的时候大脑保持高度的兴奋状态,不至于被熏晕或者不至于被引人入胜的小说情节所陶醉最后导致肛瘘…… 但是,这本书另我惊诧了…… 第一他不艰涩,是我读到过的关于统计、关于数据、关于计算的最科普的读...
評分The book is used as a textbook for my data mining class. It covers all fundamental theories and concepts of data mining, and it explained everything in a quite easy-to-understand and detailed manner. It is suggested to have a good comprehension of some math...
Introduction to Data Mining pdf epub mobi txt 電子書 下載 2024