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Real world data mining applications

Abou-Nasr, Mahmoud.

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Real world data mining applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Real world data mining applications/ edited by Mahmoud Abou-Nasr ... [et al.].
其他作者:	Abou-Nasr, Mahmoud.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xvi, 418 p. :ill., digital ;24 cm.
內容註:	Introduction -- What Data Scientists can Learn from History -- On Line Mining of Cyclic Association Rules From Parallel Dimension Hierarchies -- PROFIT: A Projected Clustering Technique -- Multi-Label Classification with a Constrained Minimum Cut Model -- On the Selection of Dimension Reduction Techniques for Scientific Applications -- Relearning Process for SPRT In Structural Change Detection of Time-Series Data -- K-means clustering on a classifier-induced representation space: application to customer contact personalization -- Dimensionality Reduction using Graph Weighted Subspace Learning for Bankruptcy Prediction -- Click Fraud Detection: Adversarial Pattern Recognition over 5 years at Microsoft -- A Novel Approach for Analysis of 'Real World' Data: A Data Mining Engine for Identification of Multi-author Student Document Submission -- Data Mining Based Tax Audit Selection: A Case Study of a Pilot Project at the Minnesota Department of Revenue -- A nearest neighbor approach to build a readable risk score for breast cancer -- Machine Learning for Medical Examination Report Processing -- Data Mining Vortex Cores Concurrent with Computational Fluid Dynamics Simulations -- A Data Mining Based Method for Discovery of Web Services and their Compositions -- Exploiting Terrain Information for Enhancing Fuel Economy of Cruising Vehicles by Supervised Training of Recurrent Neural Optimizers -- Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning Techniques -- Multilayer Semantic Analysis In Image Databases.
Contained By:	Springer eBooks
標題:	Data mining. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-07812-0
ISBN:	9783319078120 (electronic bk.)

Real world data mining applications
Real world data mining applications[electronic resource] /edited by Mahmoud Abou-Nasr ... [et al.]. - Cham :Springer International Publishing :2015. - xvi, 418 p. :ill., digital ;24 cm. - Annals of information systems,v.171934-3221 ;. - Annals of information systems ;v.16..

Introduction -- What Data Scientists can Learn from History -- On Line Mining of Cyclic Association Rules From Parallel Dimension Hierarchies -- PROFIT: A Projected Clustering Technique -- Multi-Label Classification with a Constrained Minimum Cut Model -- On the Selection of Dimension Reduction Techniques for Scientific Applications -- Relearning Process for SPRT In Structural Change Detection of Time-Series Data -- K-means clustering on a classifier-induced representation space: application to customer contact personalization -- Dimensionality Reduction using Graph Weighted Subspace Learning for Bankruptcy Prediction -- Click Fraud Detection: Adversarial Pattern Recognition over 5 years at Microsoft -- A Novel Approach for Analysis of 'Real World' Data: A Data Mining Engine for Identification of Multi-author Student Document Submission -- Data Mining Based Tax Audit Selection: A Case Study of a Pilot Project at the Minnesota Department of Revenue -- A nearest neighbor approach to build a readable risk score for breast cancer -- Machine Learning for Medical Examination Report Processing -- Data Mining Vortex Cores Concurrent with Computational Fluid Dynamics Simulations -- A Data Mining Based Method for Discovery of Web Services and their Compositions -- Exploiting Terrain Information for Enhancing Fuel Economy of Cruising Vehicles by Supervised Training of Recurrent Neural Optimizers -- Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning Techniques -- Multilayer Semantic Analysis In Image Databases.

ISBN: 9783319078120 (electronic bk.)

Standard No.: 10.1007/978-3-319-07812-0doiSubjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343 / R435 2015

Dewey Class. No.: 006.312

Real world data mining applications
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