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In den WarenkorbPaperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.95.
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
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In den WarenkorbPaperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 0.76.
Anbieter: Better World Books, Mishawaka, IN, USA
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In den WarenkorbZustand: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Anbieter: Leopolis, Kraków, Polen
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In den WarenkorbSoft 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.
Verlag: LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6139920140 ISBN 13: 9786139920143
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
EUR 39,90
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -Medical decision support system (MDSS) are now being used in many health care institutions across the glove, these institutions have large amount of medical data stored in different format and may contain relevant data that are hidden. The use of data mining is to extract hidden knowledge from a relevant data, that is why the main aim of this book is to show how data mining methods can be applied in medical decision support system and also to design a web based expert system that can predict heart condition using neural network. The design of the system is based on VA Medical center long beach database and collected from the UCI machine learning repository. After analyzing several medical decision support systems in the relevant literature, three algorithms have been identified: multilayer perceptron, decision tree and Naïve Bayes. These algorithms are tested under different configuration in order to find the best on the two medical dataset. Thereafter, a comparison was made with respect to their performance based on some set of performance metrics. The analysis was done using WEKA on the two medical dataset which are diabetes and heart diseases database.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 47,95
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In den WarenkorbTaschenbuch. 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.
Verlag: GRIN Verlag, GRIN Verlag Jan 2021, 2021
ISBN 10: 3346292320 ISBN 13: 9783346292322
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
EUR 47,95
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -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. 140 pp. Englisch.
Anbieter: preigu, Osnabrück, Deutschland
EUR 47,95
Währung umrechnenAnzahl: 5 verfügbar
In den WarenkorbTaschenbuch. 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, Ansas Meyer, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Anbieter: WeBuyBooks, Rossendale, LANCS, Vereinigtes Königreich
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In den WarenkorbZustand: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 65,97
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In den WarenkorbZustand: New. In.
Verlag: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139920140 ISBN 13: 9786139920143
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 75,13
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In den WarenkorbPaperback. Zustand: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 82,41
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In den WarenkorbPaperback. Zustand: Brand New. 308 pages. 8.75x6.00x0.75 inches. In Stock.
Verlag: Springer US, Springer US Sep 2003, 2003
ISBN 10: 1402073887 ISBN 13: 9781402073885
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
EUR 160,49
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In den WarenkorbBuch. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 304 pp. Englisch.
Verlag: Springer US, Springer New York Nov 2012, 2012
ISBN 10: 1461350042 ISBN 13: 9781461350040
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
EUR 160,49
Währung umrechnenAnzahl: 2 verfügbar
In den WarenkorbTaschenbuch. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 304 pp. Englisch.
Verlag: Springer US, Springer New York, 2012
ISBN 10: 1461350042 ISBN 13: 9781461350040
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 168,73
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbTaschenbuch. 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.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 168,73
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbBuch. 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.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 169,04
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 169,04
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In den WarenkorbZustand: New. In.
Verlag: Information Science Reference, 2016
ISBN 10: 1522518770 ISBN 13: 9781522518778
Sprache: Englisch
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 171,58
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In den WarenkorbZustand: New. In.
EUR 172,16
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In den WarenkorbZustand: Used. pp. 304.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 210,88
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In den WarenkorbZustand: New. In.
Verlag: Taylor & Francis Ltd (Sales) Dez 2018, 2018
ISBN 10: 113830588X ISBN 13: 9781138305885
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 217,55
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In den WarenkorbBuch. Zustand: Neu. Neuware - Responsible Analytics and Data Mining in Education addresses the thoughtful and purposeful navigation, evaluation, and implementation of these emerging forms of educational data analysis.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 265,11
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In den WarenkorbHardcover. Zustand: Brand New. 291 pages. 9.25x6.25x0.75 inches. In Stock.