data mining decision support (27 Ergebnisse)

Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. Data Mining with Neural Networks: Solving Business Problems from Application Development to Decision Support This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Paperback. Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Zustand: New. In.

Paperback. Zustand: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.

Soft cover. Zustand: Near Fine. 8vo (23 cm), XVII, 222 pp. Laminated wrappers (minor shelf-wear). This book provides an in-depth understanding of the principles, techniques, and applications of using neural networks for data mining purposes. Bigus guides readers through the process of leveraging neural networks to extract valuable insights and patterns from complex datasets. From the basics of neural network architecture to advanced topics such as training algorithms and model evaluation, this book offers a thorough exploration of the subject. With practical examples and case studies, "Data Mining With Neural Networks" demonstrates how neural networks can be applied to solve real-world data mining problems. Whether you are a beginner or an experienced practitioner, this book serves as a valuable resource for understanding and harnessing the power of neural networks in the context of data mining.

Paperback. Zustand: Brand New. 308 pages. 8.75x6.00x0.75 inches. In Stock.

Taschenbuch. Zustand: Neu. Application of data mining in medical decision support systems | Habib Shariff Mahamud | Taschenbuch | 84 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139920143 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Zustand: New.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Doctoral Thesis / Dissertation from the year 2020 in the subject Computer Science - Commercial Information Technology, Symbiosis International University, language: English, abstract: Data mining is coined one of the steps while discovering insights from large amounts of data which may be stored in databases, data warehouses, or in other information repositories. Data mining is now playing a significant role in seeking a decision support to draw higher profits by the modern business world. Various researchers studied the benefits of data mining processes and its adoption by business organizations, but very few of them have discussed the success factors of decision support projects. The Research Hypothesis states the involvement of the decision tree while adopting accuracy of classification and while emphasizing the impact factor or importance of the attributes rather than the information gain. The concept of involvement of impact factor rather than just accuracy can be utilized in developing the new algorithm whose performance improves over the existing algorithms. We proposed a new algorithm which improves accuracy and contributing effectively in decision tree learning. We presented an algorithm that resolves the above stated problem of confliction of class. We have introduced the impact factor and classified impact factor to resolve the conflict situation. We have used data mining technique in facilitating the decision support with improved performance over its existing companion. We have also addressed the unique problem which have not been addressed before. Definitely, the fusion of data mining and decision support can contribute to problem-solving by enabling the vast hidden knowledge from data and knowledge received from experts. We have discussed a lot of work done in the field of decision support and hierarchical multi-attribute decision models. Ample amount of algorithms are available which are used to classify the data in datasets. Most algorithms use the concept of information gain for classification purpose. Some Lacking areas also exist. There is a need for an ideal algorithm for large datasets. There is a need for handling the missing values. There is a need for removing attribute bias towards choosing a random class when a conflict occurs. There is a need for decision support model which takes the advantages of hierarchical multi-attribute classification algorithms.

hardcover. Zustand: Very Good.

Taschenbuch. Zustand: Neu. Efficient Techniques for Decision Support | Approximate Query Processing to Parallel and Value-Based Data Mining | Amit Rudra | Taschenbuch | Englisch | 2013 | Scholars' Press | EAN 9783639517545 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Data Mining Multi-Attribute Decision System. Facilitating Decision Support Through Data Mining Technique by Hierarchical Multi-Attribute Decision Models | Parashu Ram Pal (u. a.) | Taschenbuch | Englisch | 2021 | GRIN Verlag | EAN 9783346292322 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Hierarchical E-mail Spam Filtering Using AI & Data Mining Techniques | Decision Tree, Support Vector Machine, Multilayer Perception, Naïve Bays, Bayesian Network, and Random Forests | Ismail M. Khater | Taschenbuch | 136 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783847314134 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Zustand: New. pp. 304 Illus.

Zustand: New. In.

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Taschenbuch. Zustand: Neu. Data Mining and Decision Support | Integration and Collaboration | Dunja Mladenic (u. a.) | Taschenbuch | xxiii | Englisch | 2012 | Springer | EAN 9781461350040 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: New. Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support foc.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses.Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.

Zustand: New. Data mining is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. This book presents a conceptual framework, and the methods and tools for integrating the two disciplines. Editor(s): Mladenic, Dunja; Lavrac, Nada; Bohanec, Marko (Jozef Stefan Institute, Ljubljana, Slovenia); Moyle, Steve (Computing Laboratory, University of Oxford, UK). Series: The Springer International Series in Engineering and Computer Science. Num Pages: 275 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational. Dimension: 240 x 165 x 23. Weight in Grams: 566. . 2003. Hardback. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 291 pages. 9.25x6.25x0.75 inches. In Stock.

Buch. Zustand: Neu. Neuware - Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses.Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.

Zustand: New.