派博傳思國際中心

標題: Titlebook: E-Commerce and Intelligent Methods; Javier Segovia,Piotr S. Szczepaniak,Marian Niedzwi Book 2002 Springer-Verlag Berlin Heidelberg 2002 DO [打印本頁]

作者: 有靈感    時間: 2025-3-21 16:40
書目名稱E-Commerce and Intelligent Methods影響因子(影響力)




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書目名稱E-Commerce and Intelligent Methods網絡公開度學科排名




書目名稱E-Commerce and Intelligent Methods被引頻次




書目名稱E-Commerce and Intelligent Methods被引頻次學科排名




書目名稱E-Commerce and Intelligent Methods年度引用




書目名稱E-Commerce and Intelligent Methods年度引用學科排名




書目名稱E-Commerce and Intelligent Methods讀者反饋




書目名稱E-Commerce and Intelligent Methods讀者反饋學科排名





作者: Classify    時間: 2025-3-21 23:07

作者: 入會    時間: 2025-3-22 04:24
CRM in e-Business: a Client’s Life Cycle Model Based on a Neural Networkt methods both to gather and to analyse information. Information gathered in the web represents only the first step in the problem. Integrating that information with information supplied by external providers is a need if the users behaviour is to be studied. In this paper we present a new approach
作者: archenemy    時間: 2025-3-22 06:45

作者: 裁決    時間: 2025-3-22 10:03

作者: 刺激    時間: 2025-3-22 13:14
Data Mining for Diverse E-Commerce Applicationsional data with customers, suppliers, and other channel partners. Emerging data mining techniques enable organizations to prioritize and structure information from these warehouses. Through its discovery of changes, associations, rules, anomalies, and patterns, data mining can lead to significant bu
作者: 刺激    時間: 2025-3-22 19:03
Extreme Sample Classification and Credit Card Fraud Detectionations over fraudulent ones. The second one is the similarity of many bad operations to legal ones. In other words, to catch a fraudulent operation is akin to find needles in a haystack, only that some needles are in fact hay! In this type of problems (that we term below as Extreme Sample problems)
作者: 雜役    時間: 2025-3-22 23:23

作者: convulsion    時間: 2025-3-23 04:13

作者: DIS    時間: 2025-3-23 07:59
Data Mining in Marketing Using Bayesian Networks and Evolutionary Programming new knowledge to improve managerial decision making in marketing. This study proposes an innovative approach to data mining using Bayesian Networks and evolutionary programming and applies the methods to marketing data. The results suggest that this approach to knowledge discovery can generate supe
作者: 善變    時間: 2025-3-23 09:55
Improving User Profiles for E-Commerce by Genetic Algorithmsnge for these systems is bridging the gap between the physical characteristics of data with the users’ perceptions. In order to address this challenge, employing user profiles to improve accuracy becomes essential. However, the system performance may degrade due to inaccuracy of user profiles. There
作者: 擴音器    時間: 2025-3-23 16:41
Automatic Web User Profiling and Personalization Using Robust Fuzzy Relational Clusteringreturned from a Web site is a desired feature that can enhance server performance improve system design, and lead to wise marketing decisions in electronic commerce. Mining typical user profiles from the vast amount of historical data stored in access logs is an important component of Web personaliz
作者: 有花    時間: 2025-3-23 20:15

作者: COM    時間: 2025-3-24 00:27

作者: 你正派    時間: 2025-3-24 05:04
978-3-7908-2514-5Springer-Verlag Berlin Heidelberg 2002
作者: Vasodilation    時間: 2025-3-24 10:09
E-Commerce and Intelligent Methods978-3-7908-1779-9Series ISSN 1434-9922 Series E-ISSN 1860-0808
作者: 對待    時間: 2025-3-24 11:18
https://doi.org/10.1007/978-3-662-02243-6This chapter addresses factors, which play limiting role in international trade. There were discussed main barriers in general with an emphasis on procedural barriers. These barriers are connected with archaic, paper-based bureaucracy consuming a lot of efforts, time and money. They can be eliminated or reduced by multi-aspect trade facilitation.
作者: scrape    時間: 2025-3-24 18:38
https://doi.org/10.1007/978-3-662-42042-3This chapter addresses sources of electronic commerce, which are mainly connected with electronic data interchange (EDI). To have a clear picture how electronic commerce works, it is necessary to call to mind some basic information about EDI: its components, its fundamental benefits and standards.
作者: 北京人起源    時間: 2025-3-24 22:01

作者: hematuria    時間: 2025-3-25 00:10

作者: Introvert    時間: 2025-3-25 05:39

作者: Afflict    時間: 2025-3-25 10:06

作者: 不開心    時間: 2025-3-25 13:34

作者: 夾死提手勢    時間: 2025-3-25 17:15

作者: Granular    時間: 2025-3-25 22:45

作者: 爭議的蘋果    時間: 2025-3-26 04:00

作者: 門閂    時間: 2025-3-26 08:22
https://doi.org/10.1057/9781137292537ations over fraudulent ones. The second one is the similarity of many bad operations to legal ones. In other words, to catch a fraudulent operation is akin to find needles in a haystack, only that some needles are in fact hay! In this type of problems (that we term below as Extreme Sample problems)
作者: Libido    時間: 2025-3-26 08:34
https://doi.org/10.1057/9780230505896them suitable for highly dynamic environments, which is often the case in e-commerce applications. This chapter presents a review of EAs for e-commerce. It starts by discussing the main characteristics of EAs in general. Then it discusses several EAs developed for e-commerce applications, focusing o
作者: Pedagogy    時間: 2025-3-26 14:24
Children and Youth in African Historylp to overcome the shortcomings of these theories. In this paper, a paradigm based on learning conception is presented. A simulator has been developed to research the stock market. Some aspects like dynamic prices, investment strategies, market statistics have been considered. Also, an artificial ad
作者: jet-lag    時間: 2025-3-26 16:56
new knowledge to improve managerial decision making in marketing. This study proposes an innovative approach to data mining using Bayesian Networks and evolutionary programming and applies the methods to marketing data. The results suggest that this approach to knowledge discovery can generate supe
作者: FLING    時間: 2025-3-26 21:28

作者: 好色    時間: 2025-3-27 01:07
returned from a Web site is a desired feature that can enhance server performance improve system design, and lead to wise marketing decisions in electronic commerce. Mining typical user profiles from the vast amount of historical data stored in access logs is an important component of Web personaliz
作者: COWER    時間: 2025-3-27 05:33

作者: 會議    時間: 2025-3-27 12:13
Javier Segovia,Piotr S. Szczepaniak,Marian NiedzwiFirst comprehensive anthology on the e-commerce applications of intelligent methods.Includes supplementary material:
作者: 勉勵    時間: 2025-3-27 15:43

作者: PURG    時間: 2025-3-27 18:15
Iron chelators of clinical significance,plexity of these problems is addressed: they are very hard to solve exactly; special cases are shown to be NP-complete. We use competitive neural network techniques for both artificial and real life data, and report the results.
作者: 滔滔不絕的人    時間: 2025-3-28 02:00

作者: 打擊    時間: 2025-3-28 03:30

作者: cartilage    時間: 2025-3-28 06:15

作者: 元音    時間: 2025-3-28 14:28
Data Mining in Marketing Using Bayesian Networks and Evolutionary Programmingrior results than the conventional method of logistic regression. Future research in this area should devote more attention to applying this and other data mining methods to solving complex problems facing today’s electronic businesses.
作者: Nerve-Block    時間: 2025-3-28 15:12
1434-9922 icant recent developments in the field of Intelligent Meth- ods applied to eCommerce. The Intelligent Methods considered are mainly Soft Computing Methods that include fuzzy sets, rough sets, neural networks, evolutionary computations, probabilistic and evidential reasoning, multivalued logic, and r
作者: urethritis    時間: 2025-3-28 19:03
Chemistry and Technology of Water Based Inks of electronic commerce. They cover major legal issues connected with choice of jurisdiction forum and applicable law, protection of data and intellectual property rights, concluding electronic contracts.
作者: 旁觀者    時間: 2025-3-29 00:57
Childhood Acute Lymphoblastic Leukemiave analytical tools, have been proposed as a leading methodology for data mining. This chapter provides guidelines for the application of neural networks to the characterization and segmentation of the on-line customer market, in a way that we consider being best practice.
作者: 教育學    時間: 2025-3-29 06:24

作者: 過份    時間: 2025-3-29 11:01

作者: 可商量    時間: 2025-3-29 13:14
Some Legal Aspects of Electronic Commerce of electronic commerce. They cover major legal issues connected with choice of jurisdiction forum and applicable law, protection of data and intellectual property rights, concluding electronic contracts.
作者: triptans    時間: 2025-3-29 17:34

作者: Amylase    時間: 2025-3-29 20:57
A Review of Evolutionary Algorithms for E-Commercee. It starts by discussing the main characteristics of EAs in general. Then it discusses several EAs developed for e-commerce applications, focusing on three kinds of e-commerce related tasks, namely: information retrieval on the web, discovery of negotiation strategies and improvement of web-page presentation.
作者: BATE    時間: 2025-3-30 03:30
Artificial Adaptive Market Traders Based in Genetic Algorithms for a Stock Market Simulator to research the stock market. Some aspects like dynamic prices, investment strategies, market statistics have been considered. Also, an artificial adapted market trader based on genetic algorithms has been implemented. Some experimental work has been done to observe the behavior of these automatic market traders in different situations.
作者: 我沒有命令    時間: 2025-3-30 07:00
https://doi.org/10.1007/978-1-59259-325-5 Fuzzy ART neural network for customer grouping and buying pattern recognition, based on customer’s purchasing history. Step-by-step procedures for implementing the algorithm, and contextual framework for real-world CRM system are presented.
作者: 哄騙    時間: 2025-3-30 09:15
rior results than the conventional method of logistic regression. Future research in this area should devote more attention to applying this and other data mining methods to solving complex problems facing today’s electronic businesses.
作者: defenses    時間: 2025-3-30 16:00
Chemometrics in food chemistry,ain products is obtained, later the propensity through his/her life cycle to buy different products either of the same category or different is obtained with the help of a Neural Network. This will also allow us to conduct different online marketing campaigns of cross-selling and up-selling.
作者: intertwine    時間: 2025-3-30 17:27

作者: forthy    時間: 2025-3-30 21:29





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