標(biāo)題: Titlebook: Soft Computing for Knowledge Discovery and Data Mining; Oded Maimon,Lior Rokach Book 2008 Springer-Verlag US 2008 Bayesian network.Cluster [打印本頁] 作者: Autonomous 時間: 2025-3-21 19:11
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書目名稱Soft Computing for Knowledge Discovery and Data Mining被引頻次
書目名稱Soft Computing for Knowledge Discovery and Data Mining被引頻次學(xué)科排名
書目名稱Soft Computing for Knowledge Discovery and Data Mining年度引用
書目名稱Soft Computing for Knowledge Discovery and Data Mining年度引用學(xué)科排名
書目名稱Soft Computing for Knowledge Discovery and Data Mining讀者反饋
書目名稱Soft Computing for Knowledge Discovery and Data Mining讀者反饋學(xué)科排名
作者: Flounder 時間: 2025-3-21 22:21
http://image.papertrans.cn/s/image/870478.jpg作者: 預(yù)感 時間: 2025-3-22 02:47 作者: 無所不知 時間: 2025-3-22 06:14 作者: Catheter 時間: 2025-3-22 11:47
Oded Maimon,Lior RokachIllustrations of various applications including manufacturing, medical, banking, insurance and others.Includes various real-world case studies with detailed results.Edited by the highly-regarded edito作者: OATH 時間: 2025-3-22 15:10
es with detailed results.Edited by the highly-regarded edito.Data mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability...作者: Migratory 時間: 2025-3-22 18:42 作者: 偏離 時間: 2025-3-22 22:48
Swarm Intelligence Algorithms for Data Clusteringinally describes a new SI technique for partitioning any dataset into an optimal number of groups through one run of optimization. Computer simulations undertaken in this research have also been provided to demonstrate the effectiveness of the proposed algorithm.作者: 內(nèi)向者 時間: 2025-3-23 01:47
Book 2008nt because it enables modeling and knowledge extraction from abundant data availability...Soft Computing for Knowledge Discovery and Data Mining. introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approach作者: 松緊帶 時間: 2025-3-23 07:09
Support Vector Machines and Fuzzy Systems More importantly, an SVM can work very well on a high (or even infinite) dimensional feature space. This chapter presents a survey of the connection between fuzzy classifiers and kernel machines. A significant portion of the chapter is built upon material from articles we have written, in particular (Chen and Wang, 2003a, Chen and Wang, 2003b).作者: Cupidity 時間: 2025-3-23 12:59
KDD in Marketing with Genetic Fuzzy Systemsose make genetic fuzzy systems a good tool for tackling it. In sum, by applying this methodology we obtain useful information patterns (fuzzy rules) which help to better understand the relations among the elements of the marketing system (causal model) being analyzed; in our case, a consumer model.作者: 拒絕 時間: 2025-3-23 17:57
Neural Networks For Data Miningtions to data mining tasks.We provide historical development of the field of neural networks and present three important classes of neural models including feedforward multilayer networks, Hopfield networks, and Kohonen‘s self-organizing maps. Modeling issues and applications of these models for dat作者: 強(qiáng)壯 時間: 2025-3-23 19:06
Improved SOM Labeling Methodology for Data Mining Applicationstions. As a special form of neural networks, they have been attractive as a data mining tool because they are able to extract information from data even with very little user-intervention. However, although learning in self-organizing maps is considered unsupervised because training patterns do not 作者: 剛毅 時間: 2025-3-24 01:03 作者: 使成整體 時間: 2025-3-24 02:36
Genetic Clustering for Data Mining, bioinformatics, and crude oil analysis. The need for organizing data into categories of similar objects has made the task of clustering increasingly important to those domains. In this chapter, the authors present a survey of the use of GAs for clustering applications. A variety of encoding (chrom作者: 大罵 時間: 2025-3-24 07:13 作者: Barrister 時間: 2025-3-24 13:08 作者: 在前面 時間: 2025-3-24 18:55
The Role of Fuzzy Sets in Data Miningules. We begin by presenting a formulation of the data mining using fuzzy logic attributes. Then, for each task, we provide a survey of the main algorithms and a detailed description (i.e. pseudo-code) of the most popular algorithms. However this chapter will not profoundly discuss neuro-fuzzy techn作者: 繼承人 時間: 2025-3-24 21:39 作者: LAVA 時間: 2025-3-25 01:18
KDD in Marketing with Genetic Fuzzy Systemsrand new methodology to be applied in marketing (causal) modeling. Specifically, we apply it to a consumer behavior model used for the experimentation. The characteristics of the problem (with uncertain data and available knowledge from a marketing expert) and the multiobjective optimization we prop作者: Inflated 時間: 2025-3-25 04:15 作者: 很是迷惑 時間: 2025-3-25 08:11 作者: 用樹皮 時間: 2025-3-25 14:51 作者: miscreant 時間: 2025-3-25 17:56
Data Mining and Agent Technology: a fruitful symbiosis requested. And though the need for well-established engineering approaches for building and evaluating such intelligent systems has emerged, currently no widely accepted methodology exists, mainly due to lack of consensus on relevant definitions and scope of applicability. Even existing well-tested作者: allergy 時間: 2025-3-25 20:04 作者: Morbid 時間: 2025-3-26 02:29 作者: Pulmonary-Veins 時間: 2025-3-26 07:33
Neural Networks For Data Mininguding feedforward multilayer networks, Hopfield networks, and Kohonen‘s self-organizing maps. Modeling issues and applications of these models for data mining are discussed..Key words: neural networks, regression, classification, prediction, clustering作者: 憲法沒有 時間: 2025-3-26 10:31
Genetic Clustering for Data Mining important to those domains. In this chapter, the authors present a survey of the use of GAs for clustering applications. A variety of encoding (chromosome representation) approaches, fitness functions, and genetic operators are described, all of them customized to solve problems in such an application context.作者: Malaise 時間: 2025-3-26 16:00 作者: 野蠻 時間: 2025-3-26 19:58 作者: 毀壞 時間: 2025-3-27 00:16
evolutionary Design of Code-matrices for Multiclass Problemsn can be generally represented by a code-matrix, where each row corresponds to a codeword assigned for one class and the columns represent the binary classifiers employed. This chapter presents a survey on techniques for multiclass problems code-matrix design. It also shows how evolutionary techniques can be employed to solve this problem.作者: gorgeous 時間: 2025-3-27 03:22
Knowledge Discovery in a Framework for Modelling with Wordsept is modelled by a probability distribution over a set of appropriate fuzzy labels which is called as mass assignment. The idea of mass assignment provides a probabilistic approach for modelling uncertainty based on pre-defined fuzzy labels.作者: ORE 時間: 2025-3-27 09:15 作者: Glaci冰 時間: 2025-3-27 10:36
been disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 31 (thesis year 1986) a total of 11 ,480 theses titles 作者: Exclude 時間: 2025-3-27 14:47
Oded Maimon,Lior Rokachbeen disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 31 (thesis year 1986) a total of 11 ,480 theses titles 作者: 走路左晃右晃 時間: 2025-3-27 21:27 作者: 腐蝕 時間: 2025-3-27 23:49
Arnulfo Azcarraga,Ming-Huei Hsieh,Shan-Ling Pan,Rudy Setionobeen disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 31 (thesis year 1986) a total of 11 ,480 theses titles 作者: 晚來的提名 時間: 2025-3-28 02:29
Alex A. Freitasences has been disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 31 (thesis year 1986) a total of 11 ,480 theses titles 978-1-4615-7393-7978-1-4615-7391-3作者: analogous 時間: 2025-3-28 09:15 作者: 膽大 時間: 2025-3-28 12:57
Gisele L. Pappa,Alex A. Freitasences has been disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 36 (thesis year 1991) a total of 11,024 thesis titles f978-1-4613-6225-8978-1-4615-2832-6作者: Heterodoxy 時間: 2025-3-28 15:41 作者: Petechiae 時間: 2025-3-28 19:46 作者: 大廳 時間: 2025-3-29 00:09
Yixin Chenences has been disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 36 (thesis year 1991) a total of 11,024 thesis titles f978-1-4613-6225-8978-1-4615-2832-6作者: Metastasis 時間: 2025-3-29 05:10 作者: Truculent 時間: 2025-3-29 10:14
Zengchang Qin,Jonathan Lawrybeen disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 36 (thesis year 1991) a total of 11,024 thesis titles f作者: Virtues 時間: 2025-3-29 13:15
Ajith Abraham,Swagatam Das,Sandip Royences has been disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 36 (thesis year 1991) a total of 11,024 thesis titles f978-1-4613-6225-8978-1-4615-2832-6作者: 幼兒 時間: 2025-3-29 16:56 作者: 討人喜歡 時間: 2025-3-29 22:15
Christos Dimou,Andreas L. Symeonidis,Pericles A. Mitkasbeen disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 36 (thesis year 1991) a total of 11,024 thesis titles f作者: famine 時間: 2025-3-30 01:09 作者: 勉強(qiáng) 時間: 2025-3-30 08:05
Huy Nguyen Anh Pham,Evangelos Triantaphyllouences has been disseminated on a worldwide basis by Plenum Publishing Cor- poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 36 (thesis year 1991) a total of 11,024 thesis titles f978-1-4613-6225-8978-1-4615-2832-6作者: Arb853 時間: 2025-3-30 08:58 作者: 假裝是你 時間: 2025-3-30 15:31
Improved SOM Labeling Methodology for Data Mining Applicationsf SOM to a wider range of potential data mining applications. This work proposes a methodical and semi-automatic SOM labeling procedure that does not require a set of labeled patterns. Instead, nodes in the trained map are clustered and subsets of training patterns associated to each of the clustere作者: Abduct 時間: 2025-3-30 19:59 作者: 委托 時間: 2025-3-30 23:41
Data Mining and Agent Technology: a fruitful symbiosision initially, and the improvement, in the long run, of agent reasoning and MAS performance. The coupling of DM and Agent Technology (AT) principles, proposed within the context of this chapter is therefore expected to provide to the reader an efficient gateway for developing and evaluating highly r作者: Platelet 時間: 2025-3-31 03:47
The Impact of Overfitting and Overgeneralization on the Classification Accuracy in Data Mining dataset. Although the above situation is of fundamental importance to data mining, it has not been studied from a comprehensive point of view. Thus, this chapter analyzes the above issues in depth. It also proposes a new approach called the HomogeneityBased Algorithm (or HBA) for optimally controll作者: Fulsome 時間: 2025-3-31 05:55 作者: cliche 時間: 2025-3-31 10:56
d case studies with detailed results...Soft Computing for Knowledge Discovery and Data Mining .is designed for practitioners and researchers in industry. Practitioners and researchers may be particularly intere978-1-4419-4351-4978-0-387-69935-6
