標(biāo)題: Titlebook: Data Mining for Managers; How to Use Data (Big Richard Boire Book 2014 Palgrave Macmillan, a division of Nature America Inc. 2014 big data. [打印本頁] 作者: Enlightening 時(shí)間: 2025-3-21 16:43
書目名稱Data Mining for Managers影響因子(影響力)
書目名稱Data Mining for Managers影響因子(影響力)學(xué)科排名
書目名稱Data Mining for Managers網(wǎng)絡(luò)公開度
書目名稱Data Mining for Managers網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Mining for Managers被引頻次
書目名稱Data Mining for Managers被引頻次學(xué)科排名
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書目名稱Data Mining for Managers年度引用學(xué)科排名
書目名稱Data Mining for Managers讀者反饋
書目名稱Data Mining for Managers讀者反饋學(xué)科排名
作者: Flat-Feet 時(shí)間: 2025-3-21 23:17 作者: 矛盾心理 時(shí)間: 2025-3-22 02:51
Using Data Mining for CRM Evaluation,odel for new Telco customers. Data mining can also be used to develop overall strategies, such as a broad segmentation strategy. At an even more general level, data mining an be used to determine whether the deployment of a CRM program makes sense作者: 發(fā)電機(jī) 時(shí)間: 2025-3-22 05:01 作者: 粘土 時(shí)間: 2025-3-22 11:44 作者: 初次登臺 時(shí)間: 2025-3-22 15:46
Data Mining Process: Creation of the Analytical File with External Data Sources,en company is unable to collect solely on the basis of its internal activities. Another perspective on this is that this type of data represents information that is available to the public either free or at some cost. The level of data mining sophistication will determine the extent of these externa作者: 初次登臺 時(shí)間: 2025-3-22 17:55 作者: jaundiced 時(shí)間: 2025-3-22 23:53 作者: 樹木心 時(shí)間: 2025-3-23 04:35
Types and Quality of Data,ing success. Despite the latest advancements in technology and software, which all purport to significantly improve data mining results, data is clearly the driver behind any successful data mining project. Having said that, it is important to understand that there are different types and levels of 作者: carotid-bruit 時(shí)間: 2025-3-23 07:14
Segmentation,to segmentation. There are practical approaches and also scientific ones to segmentation. Rather than simply choosing to adopt one approach over the other, the correct approach will depend on the complexity of the given customer base and on the requirements of the current business challenge. For ins作者: conservative 時(shí)間: 2025-3-23 13:30 作者: 啞巴 時(shí)間: 2025-3-23 15:37 作者: 食料 時(shí)間: 2025-3-23 20:22
Using RFM as One Targeting Option,doing something simpler can in many cases be equally appropriate. A good example of this is the RFM index (recency, frequency, and monetary value); this index represents one nonstatistical method of targeting customers for a given business initiative. Here, the analyst can use three key pieces of in作者: glucagon 時(shí)間: 2025-3-24 01:19
The Use of Multivariate Analysis Techniques, a continuous range of values; logistic regression predicts outcomes that are categorical in nature. The most commonly used logistic routines are used to predict yes/no behaviors, such as response, attrition, or credit default. The outcome derived can also be a set of rules such as CHAID rather than作者: 卵石 時(shí)間: 2025-3-24 03:59
Tracking and Measuring,ame time, this process should always yield new insights and learning that can be utilized for future campaigns. Besides the development and application of solutions, the data mining process should encompass an ongoing learning environment that provides the means for continuous business improvement. 作者: 愛好 時(shí)間: 2025-3-24 08:51
Implementation and Tracking,to marketing. For example, the development of credit-risk models could be applied in the operations area; the output of these models consists of the risk segments that are associated with these customers. In applying solutions, the most important consideration is to ensure that the solution is being作者: Venules 時(shí)間: 2025-3-24 10:40
Value-Based Segmentation and the Use of CHAID,oping a segmentation strategy is based on value. The key and ultimately the largest challenge in this type of exercise is the identification of metrics and measures that comprise value. Once these measures and metrics are identified, a value result is built for each customer record. The results of t作者: Perennial長期的 時(shí)間: 2025-3-24 15:52
Black Box Analytics,skepticism and doubts are now embraced by many organizations. Yet, from a practitioner’s perspective, some solutions are easier to understand than others. The challenge for the practitioner is to communicate with the business end user in such a way that the end user knows how to use and apply the so作者: Insensate 時(shí)間: 2025-3-24 21:28 作者: 極少 時(shí)間: 2025-3-24 23:42
http://image.papertrans.cn/d/image/262950.jpg作者: certain 時(shí)間: 2025-3-25 06:04
Book 2014Big Data is a growing business trend, but there little advice available on how to use it practically. Written by a data mining expert with over 30 years of experience, this book uses case studies to help marketers, brand managers and IT professionals understand how to capture and measure data for marketing purposes.作者: harrow 時(shí)間: 2025-3-25 11:11 作者: needle 時(shí)間: 2025-3-25 11:39 作者: Reverie 時(shí)間: 2025-3-25 19:15
https://doi.org/10.1007/978-1-349-07262-0It is important to understand that the same learning feedback process used to generate strategy improvements can also be used in a more granular fashion by identifying specific tasks and tactics for improving future marketing efforts. Successful data mining practices include the application of ongoing learning to future activities.作者: 禁令 時(shí)間: 2025-3-25 21:49
Data Mining in the New Economy,It is important to understand that the same learning feedback process used to generate strategy improvements can also be used in a more granular fashion by identifying specific tasks and tactics for improving future marketing efforts. Successful data mining practices include the application of ongoing learning to future activities.作者: 反抗者 時(shí)間: 2025-3-26 00:48
,Growth of Data Mining—An Historical Perspective,d data mining to the forefront of business today? To get a sense of data mining’s history, it is useful to speak to its early practitioners, namely, the direct marketers of the large major catalogue companies and publishing houses.作者: 收到 時(shí)間: 2025-3-26 04:19 作者: chassis 時(shí)間: 2025-3-26 11:31 作者: 全國性 時(shí)間: 2025-3-26 14:01
Using RFM as One Targeting Option,doing something simpler can in many cases be equally appropriate. A good example of this is the RFM index (recency, frequency, and monetary value); this index represents one nonstatistical method of targeting customers for a given business initiative. Here, the analyst can use three key pieces of information:作者: 符合規(guī)定 時(shí)間: 2025-3-26 18:30
Black Box Analytics,skepticism and doubts are now embraced by many organizations. Yet, from a practitioner’s perspective, some solutions are easier to understand than others. The challenge for the practitioner is to communicate with the business end user in such a way that the end user knows how to use and apply the solution.作者: 泥瓦匠 時(shí)間: 2025-3-26 22:49
,Hints for the user of “CMEA Data”,pic. The explosive growth of data has certainly fuelled the need for more discussion on this topic, yet, minimal content has been actually devoted to the topic of data. The focus of the book is on data and its use in shifting the key levers of your business, and to ultimately understand how this dri作者: hardheaded 時(shí)間: 2025-3-27 03:16 作者: minimal 時(shí)間: 2025-3-27 05:20
,Hints for the user of “COMECON DATA”,odel for new Telco customers. Data mining can also be used to develop overall strategies, such as a broad segmentation strategy. At an even more general level, data mining an be used to determine whether the deployment of a CRM program makes sense作者: 吞下 時(shí)間: 2025-3-27 09:53 作者: anthesis 時(shí)間: 2025-3-27 16:48 作者: 攤位 時(shí)間: 2025-3-27 19:52 作者: scoliosis 時(shí)間: 2025-3-28 01:26 作者: 全部逛商店 時(shí)間: 2025-3-28 02:40 作者: 痛打 時(shí)間: 2025-3-28 06:33 作者: 縮短 時(shí)間: 2025-3-28 13:14
https://doi.org/10.1057/9781137415141to segmentation. There are practical approaches and also scientific ones to segmentation. Rather than simply choosing to adopt one approach over the other, the correct approach will depend on the complexity of the given customer base and on the requirements of the current business challenge. For ins作者: 倒轉(zhuǎn) 時(shí)間: 2025-3-28 15:07 作者: anaerobic 時(shí)間: 2025-3-28 19:51
Comet/Asteroid Impacts and Human Society. How is the impact of a given solution assessed? In particular, how is this impact assessed in business terms that are understandable to the business executives? The answer is through validation by what is often referred to as a gains table,作者: AORTA 時(shí)間: 2025-3-29 01:46 作者: 不確定 時(shí)間: 2025-3-29 04:46
Martha S. Hanner,Alan T. Tokunaga a continuous range of values; logistic regression predicts outcomes that are categorical in nature. The most commonly used logistic routines are used to predict yes/no behaviors, such as response, attrition, or credit default. The outcome derived can also be a set of rules such as CHAID rather than作者: Lucubrate 時(shí)間: 2025-3-29 08:58 作者: 其他 時(shí)間: 2025-3-29 15:00
Brahmin Jesters and Sufi Wise Foolsto marketing. For example, the development of credit-risk models could be applied in the operations area; the output of these models consists of the risk segments that are associated with these customers. In applying solutions, the most important consideration is to ensure that the solution is being作者: AGONY 時(shí)間: 2025-3-29 17:03
Brahmin Jesters and Sufi Wise Foolsoping a segmentation strategy is based on value. The key and ultimately the largest challenge in this type of exercise is the identification of metrics and measures that comprise value. Once these measures and metrics are identified, a value result is built for each customer record. The results of t作者: albuminuria 時(shí)間: 2025-3-29 20:55
Rude Theory: The Rough Trade of the Fabliauxskepticism and doubts are now embraced by many organizations. Yet, from a practitioner’s perspective, some solutions are easier to understand than others. The challenge for the practitioner is to communicate with the business end user in such a way that the end user knows how to use and apply the so作者: 充滿人 時(shí)間: 2025-3-30 00:14
https://doi.org/10.1007/978-1-349-05852-5d data mining to the forefront of business today? To get a sense of data mining’s history, it is useful to speak to its early practitioners, namely, the direct marketers of the large major catalogue companies and publishing houses.作者: 憤世嫉俗者 時(shí)間: 2025-3-30 04:06 作者: Extemporize 時(shí)間: 2025-3-30 10:43 作者: avenge 時(shí)間: 2025-3-30 13:48
https://doi.org/10.1007/978-94-011-3378-4doing something simpler can in many cases be equally appropriate. A good example of this is the RFM index (recency, frequency, and monetary value); this index represents one nonstatistical method of targeting customers for a given business initiative. Here, the analyst can use three key pieces of information:作者: 智力高 時(shí)間: 2025-3-30 17:39
Rude Theory: The Rough Trade of the Fabliauxskepticism and doubts are now embraced by many organizations. Yet, from a practitioner’s perspective, some solutions are easier to understand than others. The challenge for the practitioner is to communicate with the business end user in such a way that the end user knows how to use and apply the solution.作者: 向外才掩飾 時(shí)間: 2025-3-30 21:09
The Data Mining Process: Creation of the Analytical File,erned with what is already there and not with what should be there. When a file and some of its contents have been identified as potentially relevant for an analysis, analysts in most cases request the entire file as one data component in the project.作者: agnostic 時(shí)間: 2025-3-31 02:10
Types and Quality of Data,ly the driver behind any successful data mining project. Having said that, it is important to understand that there are different types and levels of data. Knowledge of these types and levels of data can provide insight into how performance will be impacted.作者: audiologist 時(shí)間: 2025-3-31 05:46 作者: 意外 時(shí)間: 2025-3-31 11:24
The Use of Multivariate Analysis Techniques, to predict yes/no behaviors, such as response, attrition, or credit default. The outcome derived can also be a set of rules such as CHAID rather than a score, which is the predicted outcome of either logistic or linear regression.作者: Bravado 時(shí)間: 2025-3-31 16:05 作者: paltry 時(shí)間: 2025-3-31 21:28
ractically. Written by a data mining expert with over 30 years of experience, this book uses case studies to help marketers, brand managers and IT professionals understand how to capture and measure data for marketing purposes.978-1-349-48786-8978-1-137-40619-4作者: infelicitous 時(shí)間: 2025-4-1 01:02
The Moderns: The Romantic Loss of Comedyrs respect the legislation since it encapsulates what has been best practice in many organizations for many years. It is simply a good business practice to be respectful of and attentive to the privacy needs of consumers when attempting to properly market the right services and products to them.作者: 狂怒 時(shí)間: 2025-4-1 02:20 作者: 占線 時(shí)間: 2025-4-1 08:18 作者: 抗體 時(shí)間: 2025-4-1 13:51 作者: 疼死我了 時(shí)間: 2025-4-1 15:59
Comet/Asteroid Impacts and Human Societyng” part of data mining happens. We have moved beyond the data phase, which in practical terms is more critical than this phase in achieving project success. Data is the key ingredient, but in this phase analysts apply tools in order to bring the “magic” out of the data. We will commence this section by discussing a number of techniques.
