標(biāo)題: Titlebook: Descriptive Data Mining; David L. Olson Book 20171st edition Springer Nature Singapore Pte Ltd. 2017 Business Analytics.Data Mining.Descri [打印本頁(yè)] 作者: 公款 時(shí)間: 2025-3-21 19:44
書目名稱Descriptive Data Mining影響因子(影響力)
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書目名稱Descriptive Data Mining網(wǎng)絡(luò)公開(kāi)度
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書目名稱Descriptive Data Mining讀者反饋
書目名稱Descriptive Data Mining讀者反饋學(xué)科排名
作者: explicit 時(shí)間: 2025-3-21 23:59 作者: 高度表 時(shí)間: 2025-3-22 02:06
Nadjma Yassari,Lena-Maria M?ller?Recency, Frequency, and Monetary (RFM)analysis seeks to identify customers who are more likely to respond to new offers. While lift looks at the static measure of response to a particular campaign, RFM keeps track of customer transactions by time, by frequency, and by amount.作者: Flounder 時(shí)間: 2025-3-22 07:46 作者: 人類 時(shí)間: 2025-3-22 11:32 作者: 圍巾 時(shí)間: 2025-3-22 14:58
Association Rules,Association rules seek to identify combinations of things that frequently occur together (.). This is also the basis of market basket analysis, which we discussed in terms of correlation and Jaccard ratios. Association rules take things a step further by applying a form of machine learning, the most common of which is the apriori algorithm.作者: 圍巾 時(shí)間: 2025-3-22 17:58
Function of Filaggrin and Its Metabolitesneeded and to analyze available data to make effective decisions regarding whatever the organization does. This include research, digging through records, or gathering data from wherever it can be found. . and . of data involves database management, using many tools developed by computer science. Th作者: 撫育 時(shí)間: 2025-3-23 00:04
File Sharing in Peer-to-Peer-Netzwerkens and practices for exploration and investigation of past business performance to gain insight and aid business planning. The focus is on developing new insights and understanding based on data and statistical analysis. The emphasis is on fact-based management to drive decision making.作者: Fracture 時(shí)間: 2025-3-23 02:45 作者: expound 時(shí)間: 2025-3-23 08:48
Ayesha Shahid,Isfandyar Ali Khanbasic algorithms work. The second section shows how software works on this standardized data. The third section will demonstrate software with original data not requiring standardization. If you don’t care what computers are doing, you can proceed to this section.作者: bonnet 時(shí)間: 2025-3-23 10:49 作者: Ballerina 時(shí)間: 2025-3-23 16:37
Ayesha Shahid,Isfandyar Ali Khang at various forms of statistics to gain understanding of the state of whatever field is being examined. The book begins with a chapter on knowledge management, seeking to provide a context of analytics in the overall framework of information management.作者: 偏見(jiàn) 時(shí)間: 2025-3-23 21:27
https://doi.org/10.1007/978-981-10-3340-7Business Analytics; Data Mining; Descriptive Data Mining; Visualization; Open Source Software; Cluster An作者: Projection 時(shí)間: 2025-3-23 22:47
978-981-10-9847-5Springer Nature Singapore Pte Ltd. 2017作者: gruelling 時(shí)間: 2025-3-24 03:17 作者: 斷斷續(xù)續(xù) 時(shí)間: 2025-3-24 09:46
Market Basket Analysis,icial intelligence) to extract interesting patterns from data stored in large databases. Here . means non-trivial, implicit, previously unknown, and easily understood and described knowledge that can be used (.).作者: LANCE 時(shí)間: 2025-3-24 12:13 作者: PAGAN 時(shí)間: 2025-3-24 17:08
Descriptive Data Mining,g at various forms of statistics to gain understanding of the state of whatever field is being examined. The book begins with a chapter on knowledge management, seeking to provide a context of analytics in the overall framework of information management.作者: 符合規(guī)定 時(shí)間: 2025-3-24 19:21
David L. OlsonIncludes a discussion of descriptive analytic modeling.Covers visualization in the context of data mining.Demonstrates modeling with R and other open source software products.Includes supplementary ma作者: 思考才皺眉 時(shí)間: 2025-3-25 02:30 作者: 加花粗鄙人 時(shí)間: 2025-3-25 07:05
Descriptive Data Mining978-981-10-3340-7Series ISSN 2191-1436 Series E-ISSN 2191-1444 作者: 骯臟 時(shí)間: 2025-3-25 09:05
File Sharing in Peer-to-Peer-Netzwerkens and practices for exploration and investigation of past business performance to gain insight and aid business planning. The focus is on developing new insights and understanding based on data and statistical analysis. The emphasis is on fact-based management to drive decision making.作者: 花費(fèi) 時(shí)間: 2025-3-25 11:44
https://doi.org/10.1007/978-94-6265-311-5icial intelligence) to extract interesting patterns from data stored in large databases. Here . means non-trivial, implicit, previously unknown, and easily understood and described knowledge that can be used (.).作者: HAUNT 時(shí)間: 2025-3-25 19:36 作者: 使閉塞 時(shí)間: 2025-3-25 20:03
Ayesha Shahid,Isfandyar Ali Khang at various forms of statistics to gain understanding of the state of whatever field is being examined. The book begins with a chapter on knowledge management, seeking to provide a context of analytics in the overall framework of information management.作者: 脆弱么 時(shí)間: 2025-3-26 01:43
Knowledge Management,needed and to analyze available data to make effective decisions regarding whatever the organization does. This include research, digging through records, or gathering data from wherever it can be found. . and . of data involves database management, using many tools developed by computer science. Th作者: 注意到 時(shí)間: 2025-3-26 07:24
Data Visualization,s and practices for exploration and investigation of past business performance to gain insight and aid business planning. The focus is on developing new insights and understanding based on data and statistical analysis. The emphasis is on fact-based management to drive decision making.作者: 調(diào)整 時(shí)間: 2025-3-26 10:38 作者: 完整 時(shí)間: 2025-3-26 14:41
Cluster Analysis,basic algorithms work. The second section shows how software works on this standardized data. The third section will demonstrate software with original data not requiring standardization. If you don’t care what computers are doing, you can proceed to this section.作者: Semblance 時(shí)間: 2025-3-26 20:00
Link Analysis,ke and Yang 2008) which has been used to measure social relationships, to include social media and collaboration networks. People (or customers) can be represented as nodes and the relationships between them can be links in a graph. In biological science they have been applied to analyze protein int作者: 合并 時(shí)間: 2025-3-26 22:47
Descriptive Data Mining,g at various forms of statistics to gain understanding of the state of whatever field is being examined. The book begins with a chapter on knowledge management, seeking to provide a context of analytics in the overall framework of information management.作者: Iniquitous 時(shí)間: 2025-3-27 03:41
Book 20171st editionoverall field as well as within the more specific field of data mining analysis. Chapter 2 covers data visualization, including directions for accessing R open source software (described through Rattle). Both R and Rattle are free to students. Chapter 3 then describes market basket analysis, compari作者: Obstruction 時(shí)間: 2025-3-27 07:14
Link Analysis,e represented as nodes and the relationships between them can be links in a graph. In biological science they have been applied to analyze protein interactions. They also have been applied to law enforcement and terrorism.作者: excrete 時(shí)間: 2025-3-27 11:18 作者: 最高峰 時(shí)間: 2025-3-27 14:15 作者: Melanoma 時(shí)間: 2025-3-27 18:10 作者: 600 時(shí)間: 2025-3-28 00:18 作者: Bridle 時(shí)間: 2025-3-28 04:25
Thomas Friedli,Günther Schuh captured by the level of each individual’s income. Also, people perceive deprivation in different ways—and each person and community defines whatever deprivation faced and disadvantages that affect their lives in varied ways such that any concurrence is a coincidental matter.作者: 表狀態(tài) 時(shí)間: 2025-3-28 06:59 作者: 泥瓦匠 時(shí)間: 2025-3-28 11:36 作者: Compass 時(shí)間: 2025-3-28 17:01 作者: 詞根詞綴法 時(shí)間: 2025-3-28 21:15