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Applications of data mining in e-business and finance / edited by Carlos Soares [and others]
Applications of data mining in e-business and finance / edited by Carlos Soares [and others]
Estensione 1 online resource (1 volume).
Disciplina 006.3/12
Accesso persona Soares, Carlos
Accesso convegno Data Mining for Business Workshop (2007 : Nanjing Shi, China)
Pacific-Asia Conference on Knowledge Discovery and Data Mining (11th : 2007 : Nanjing, Shi, China)
Genere/Forma Electronic books
Conference papers and proceedings
ISBN 9781435678200
1435678206
9781597344760
1597344761
9781607503545
1607503549
128178639X
9781281786395
1586038907
9781586038908
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title page; Preface; Program Committee; Contents; Applications of Data Mining in E-Business and Finance: Introduction; Evolutionary Optimization of Trading Strategies; An Analysis of Support Vector Machines for Credit Risk Modeling; Applications of Data Mining Methods in the Evaluation of Client Credibility; A Tripartite Scorecard for the Pay/No Pay Decision-Making in the Retail Banking Industry; An Apriori Based Approach to Improve On-Line Advertising Performance; Probabilistic Latent Semantic Analysis for Search and Mining of Corporate Blogs; A Quantitative Method for RSS Based Applications.
Record Nr. NYU-003351239
Materiale a stampa
Lo trovi qui: New York University
Data preparation for data mining using SAS / Mamdouh Refaat
Data preparation for data mining using SAS / Mamdouh Refaat
Creatore [Refaat, Mamdouh]
Estensione xxi, 399 p. : ill. ; 24 cm. + 1 CD-ROM (4 3/4 in.).
Disciplina 006.3/12
ISBN 0123735777 (alk. paper)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. NYU-000444783
[Refaat, Mamdouh]  
Materiale a stampa
Lo trovi qui: New York University
Social Media Mining with R.
Social Media Mining with R.
Creatore [Danneman, Nathan]
Estensione 1 online resource
Disciplina 006.3/12
Genere/Forma Electronic books
ISBN 9781783281787
1783281782
1306545528
9781306545525
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. NYU-004306618
[Danneman, Nathan]  
Materiale a stampa
Lo trovi qui: New York University
Inductive databases and constraint-based data mining / Sašo Džeroski, Bart Goethals, Panče Panov, editors
Inductive databases and constraint-based data mining / Sašo Džeroski, Bart Goethals, Panče Panov, editors
Estensione 1 online resource (xvii, 456 pages)
Disciplina 006.3/12
Accesso persona Džeroski, Sašo, 1968-
Goethals, Bart
Panov, Panče
Genere/Forma Electronic books
ISBN 9781441977380
1441977384
1441977376
9781441977373
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover13; -- Preface -- Acknowledgements -- List of Reviewers -- Contents -- Part I Introduction -- Chapter 1 Inductive Databases and Constraint-based Data Mining: Introduction and Overview -- 1.1 Inductive Databases -- 1.1.1 Inductive Databases and Queries: An Example -- 1.1.2 Inductive Queries and Constraints -- 1.1.3 The Promise of Inductive Databases -- 1.2 Constraint-based Data Mining -- 1.2.1 Basic Data Mining Entities -- 1.2.2 The Task(s) of (Constraint-Based) Data Mining -- 1.3 Types of Constraints -- 1.3.1 Primitive and Composite Constraints -- 1.3.2 Language and Evaluation Constraints -- 1.3.3 Hard, Soft and Optimization Constraints -- 1.4 Functions Used in Constraints -- 1.4.1 Language Cost Functions -- 1.4.2 Evaluation Functions -- 1.4.3 Monotonicity and Closedness -- 1.5 KDD Scenarios -- 1.6 A Brief Review of Literature Resources -- 1.7 The IQ (Inductive Queries for Mining Patterns and Models) Project -- 1.7.1 Background (The cInQ project) -- 1.7.2 IQ Project Consortium and Structure -- 1.7.3 Major Results of the IQ project -- 1.8 What8217;s in this Book -- 1.8.1 Introduction -- 1.8.2 Constraint-based Data Mining: Selected Techniques -- 1.8.3 Inductive Databases: Integration Approaches -- 1.8.4 Applications -- References -- Chapter 2 Representing Entities in the OntoDM Data Mining Ontology -- 2.1 Introduction -- 2.2 Design Principles for the OntoDM ontology -- 2.2.1 Motivation -- 2.2.2 OntoDM design principles -- 2.2.3 Ontologies for representing scientific investigations -- 2.3 OntoDM Structure and Implementation -- 2.3.1 Upper level is-a hierarchy -- 2.3.2 Ontological relations -- 2.3.3 Modularity: Specification, implementation, application -- 2.4 Identification of Data Mining Entities -- 2.4.1 A general framework for data mining: Basic principles -- 2.4.2 Data -- 2.4.3 Generalizations -- 2.4.4 Data mining task -- 2.4.5 Data mining algorithms -- 2.4.6 OntoDM modeling issues -- 2.5 Representing Data Mining Enitities in OntoDM -- 2.5.1 Specification entities in OntoDM -- 2.5.2 Implementation and application entities in OntoDM -- 2.6 Related Work -- 2.7 Conclusion -- References -- Chapter 3 A Practical Comparative Study Of Data Mining Query Languages -- 3.1 Introduction -- 3.2 Data Mining Tasks -- 3.3 Comparison of Data Mining Query Languages -- 3.3.1 DMQL -- 3.3.2 MSQL -- 3.3.3 MINE RULE -- 3.3.4 SIQL -- 3.3.5 SPQL -- 3.3.6 DMX -- 3.4 Summary of the Results -- 3.5 Conclusions -- References -- Chapter 4 A Theory of Inductive Query Answering -- 4.1 Introduction -- 4.2 Boolean Inductive Queries -- 4.2.1 Predicates -- 4.2.2 Illustrations of Inductive Querying -- 4.2.3 A General Framework -- 4.3 Generalized Version Spaces -- 4.4 Query Decomposition -- 4.4.1 Query Plans -- 4.4.2 Canonical Decomposition -- 4.5 Normal Forms -- 4.6 Conclusions -- References -- Part II Constraint-based Mining: Selected Techniques -- Chapter 5 Generalizing Itemset Mining in a Constraint Programming Setting -- 5.1 Introduction -- 5.2 General Concepts -- 5.3 Specialized Approaches -- 5.4 A Generalized Algorithm -- 5.5 A Dedicated Solver -- 5.5.1 Principles -- 5.5.2 Case study on formal concepts and fault-tolerant patterns -- 5.6 Using Constraint Programming Systems -- 5.6.1 Principles -- 5.6.
Record Nr. NYU-004366838
Materiale a stampa
Lo trovi qui: New York University
Knowledge discovery, knowledge engineering and knowledge management : 6th International Joint Conference, IC3K 2014, Rome, Italy, October 21-24, 2014, revised selected papers / edited by Ana Fred, Jan L. G. Dietz, David Aveiro, Kecheng Liu, Joaquim Filipe
Knowledge discovery, knowledge engineering and knowledge management : 6th International Joint Conference, IC3K 2014, Rome, Italy, October 21-24, 2014, revised selected papers / edited by Ana Fred, Jan L. G. Dietz, David Aveiro, Kecheng Liu, Joaquim Filipe
Creatore [IC3K (Conference) (6th : 2014 : Rome, Italy)]
Estensione 1 online resource (xx, 622 pages) : illustrations.
Disciplina 006.3/12
025.04
Accesso persona Fred, Ana, editor
Dietz, Jan L. G., editor.
Aveiro, David.editor.
Liu, Kecheng.editor.
Filipe, Joaquim.editor.
Genere/Forma Electronic books
Conference papers and proceedings
ISBN 9783319258409
3319258400
9783319258393
3319258397
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge discovery and information retrieval -- Knowledge engineering and ontology development -- Knowledge management and information sharing.
Record Nr. NYU-004459063
[IC3K (Conference) (6th : 2014 : Rome, Italy)]  
Materiale a stampa
Lo trovi qui: New York University
Pocket data mining : big data on small devices / Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes
Pocket data mining : big data on small devices / Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes
Creatore [Gaber, Mohamed Medhat, author]
Estensione 1 online resource (100 pages).
Disciplina 006.3/12
Accesso persona Stahl, Frederic, author
Gomes, João Bártolo, author
Genere/Forma Electronic books
ISBN 9783319027111
3319027115
3319027107
9783319027104
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pocket Data Mining Framework -- Implementation of Pocket Data Mining -- Context-aware PDM(Coll-Stream) -- Experimental Validation of Context-aware PDM -- Potential Applications of Pocket Data Mining -- Conclusions, Discussion and Future Directions.
Record Nr. NYU-004441108
[Gaber, Mohamed Medhat, author]  
Materiale a stampa
Lo trovi qui: New York University
Mining and analyzing social networks / I-Hsien Ting, Hui-Ju Wu and Tien-Hwa Ho [Editors]
Mining and analyzing social networks / I-Hsien Ting, Hui-Ju Wu and Tien-Hwa Ho [Editors]
Estensione 1 online resource (x, 182 pages).
Disciplina 006.3/12
Accesso persona Ting, I-Hsien
Wu, Hui-Ju
Ho, Tien-Hwa
Genere/Forma Electronic books
ISBN 9783642134227
364213422X
9783642134210
3642134211
1280003677
9781280003677
Classificazione 50.00
TP393. 02
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. NYU-004363189
Materiale a stampa
Lo trovi qui: New York University
Advances in data mining : applications and theoretical aspects : 11th industrial conference, ICDM 2011, New York, NY, USA, August 30 - September 3, 2011 : proceedings / Petra Perner (ed.).
Advances in data mining : applications and theoretical aspects : 11th industrial conference, ICDM 2011, New York, NY, USA, August 30 - September 3, 2011 : proceedings / Petra Perner (ed.).
Creatore [Industrial Conference on Data Mining (11th : 2011 : New York, N.Y.)]
Estensione 1 online resource (xi, 328 pages) : illustrations.
Disciplina 006.3/12
Accesso persona Perner, Petra
Genere/Forma Electronic books
Conference papers and proceedings
ISBN 9783642231841
3642231845
9783642231834
3642231837
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Improvements over adaptive local hyperplane to achieve better classification / Hongmin Cai -- Prognostic models based on linear separability / Leon Bobrowski -- One class classification for anomaly detection : support vector data description revisited / Eric J. Pauwels and Onkar Ambekar -- How to interpret decision trees? / Petra Perner -- Comparing classifiers and metaclassifiers / Elio Lozano and Edgar Acuña -- Fast data acquisition in cost-sensitive learning / Victor S. Sheng -- Applications of a unified medical data miner (UMDM) for prediction, classification, interpretation and visualization on medical datasets : the diabetes dataset case / Nawaz Mohamudally and Dost Muhammad Khan -- Melanoma diagnosis and classification web center system : the non-invasive diagnosis support subsystem / Wiesław Paja and Mariusz Wrzesień -- Characterizing cell types through differentially expressed gene clusters using a model-based approach / Juliane Perner and Elena Zotenko -- Experiments with hybridization and optimization of the rules knowledge base for classification of MMPI profiles / Jerzy Gomuła ... (et al.) -- Unsupervised classification of hyperspectral images on spherical manifolds / Dalton Lunga and Okan Ersoy -- Recognition of porosity in wood microscopic anatomical images / Shen Pan and Mineichi Kudo -- Exploratory hierarchical clustering for management zone delineation in precision agriculture / Georg Russ and Rudolf Kruse -- High classification rates for continuous cow activity recognition using low-cast GPS positioning sensors and standard machine learning techniques / Torben Godsk and Mikkel Baun Kjaergaard -- Mining pixel evolutions in satellite image time series for agricultural monitoring / Andreea Julea ... (et al.) -- Robust, non-redundant feature selection for yield analysis in semiconductor manufacturing / Eric St. Pierre and Eugen Tuv -- Integrated use of ICA and ANN to recognize the mixture control chart patterns in a process / Yuehjen E. Shao, Yini Lin, and Ya-Chi Chan -- Optimized fuzzy decision tree data mining for engineering applications / Liam Evans and Niels Lohse -- Graph-based data warehousing using the core-facets model / Dung N. Lam, Alexander Y. Liu, and Cheryl E. Martin -- General sales forecast models for automobile markets based on time series analysis and data mining techniques / Marco Hülsmann ... (et al.) -- Towards a spatial instance learning method for deep web pages / Ermelinda Oro and Massimo Ruffolo -- Applying user signatures on fraud detection in telecommunications networks / João Lopes, Orlando Belo, and Carlos Vieira -- Methods in case-based classification in bioinformatics : lessons learned / Isabelle Bichindaritz -- Prediction of batch-end quality for an industrial polymerization process / Geert Gins ... (et al.).
Record Nr. NYU-004370643
[Industrial Conference on Data Mining (11th : 2011 : New York, N.Y.)]  
Materiale a stampa
Lo trovi qui: New York University
Data-driven process discovery and analysis : second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d'Italia, Italy, June 18-20, 2012, Revised selected papers / Philippe Cudre-Mauroux, Paolo Ceravolo, Dragan Gašević (eds.).
Data-driven process discovery and analysis : second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d'Italia, Italy, June 18-20, 2012, Revised selected papers / Philippe Cudre-Mauroux, Paolo Ceravolo, Dragan Gašević (eds.).
Creatore [SIMPDA 2012 (2012 : Campione d'Italia, Italy)]
Estensione 1 online resource (x, 113 pages) : illustrations.
Disciplina 006.3/12
Accesso persona Cudré-Mauroux, Philippe, editor
Ceravolo, Paolo, editor
Gašević, Dragan, editor
Genere/Forma Congresses
Electronic books
Conference papers and proceedings
ISBN 9783642409196
3642409199
9783642409189
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Lightweight RDF Data Model for Business Process Analysis / Marcello Leida and Basim Majeed -- Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodological Approach / Santiago Aguirre and Carlos Parra -- Improving Business Process Models Using Observed Behavior / J.C.A.M. Buijs, M. La Rosa and H.A. Reijers -- Process Prediction in Noisy Data Sets: A Case Study in a Dutch Hospital / Sjoerd van der Spoel and Maurice van Keulen -- Towards Automatic Capturing of Semi-structured Process Provenance / Andreas Wombacher and Mohammad Rezwanul Huq -- Managing Structural and Textual Quality of Business Process Models / Jan Mendling.
Record Nr. NYU-004439238
[SIMPDA 2012 (2012 : Campione d'Italia, Italy)]  
Materiale a stampa
Lo trovi qui: New York University
Advances in knowledge discovery and data mining : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings. Part I / Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda (eds.).
Advances in knowledge discovery and data mining : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings. Part I / Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda (eds.).
Creatore [Pacific-Asia Conference on Knowledge Discovery and Data Mining (19th : 2015 : Ho Chi Minh City, Vietnam)]
Estensione 1 online resource (xxx, 763 pages) : illustrations.
Disciplina 006.3/12
Accesso persona Cao, Tru, editor
Genere/Forma Electronic books
Conference papers and proceedings
ISBN 9783319180380
331918038X
9783319180373
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Social Networks and Social Media -- Maximizing Friend-Making Likelihood for Social Activity Organization -- What Is New in Our City? A Framework for Event Extraction Using Social Media Posts -- Link Prediction in Aligned Heterogeneous Networks -- Scale-Adaptive Group Optimization for Social Activity Planning -- Influence Maximization Across Partially Aligned Heterogenous Social Networks -- Multiple Factors-Aware Diffusion in Social Networks -- Understanding Community Effects on Information Diffusion -- On Burst Detection and Prediction in Retweeting Sequence -- Few Things About Idioms: Understanding Idioms and Its Users in the Twitter Online Social Network -- Retweeting Activity on Twitter: Signs of Reception -- Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network -- Classification -- Double Ramp Loss Based Reject Option Classifier -- Efficient Methods for Multi-label Classification -- A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification -- Learning Topic-Oriented Word Embedding for Query Classification -- Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes -- Distributed Document Representation for Document Classification -- Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach -- Nearest Neighbor Method Based on Local Distribution for Classification -- Immune Centroids Over-Sampling Method for Multi-Class Classification -- Optimizing Classifiers for Hypothetical Scenarios -- Repulsive-SVDD Classification -- Centroid-Means-Embedding: an Approach to Infusing Word Embeddings into Features for Text Classification -- Machine Learning -- Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning -- Multi-Task Metric Learning on Network Data -- A Bayesian Nonparametric Approach to Multilevel Regression -- Learning Conditional Latent Structures from Multiple Data Sources -- Collaborative Multi-view Learning with Active Discriminative Prior for Recommendation -- Online and Stochastic Universal Gradient Methods for Minimizing Regularized Hölder Continuous Finite Sums in Machine Learning -- Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages -- Uncovering the Latent Structures of Crowd Labeling -- Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models -- Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation -- Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection -- A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization -- Applications -- On Damage Identification in Civil Structures Using Tensor Analysis -- Predicting Smartphone Adoption in Social Networks -- Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data -- Locating Self-collection Points for Last-mile Logistics using Public Transport Data -- A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field -- Online Prediction of Chess Match Result -- Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments -- Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and its Application to Autism Research Literature -- Automated Detection for Probable Homologous Foodborne Disease Outbreaks -- Identifying Hesitant and Interested Customers for Targeted Social Marketing -- Activity-Partner Recommendation -- Iterative Use of Weighted Voronoi Diagrams to Improve Scalability in Recommender Systems -- Novel Methods and Algorithms Principal Sensitivity Analysis -- SocNL: Bayesian Label Propagation with Confidence -- An Incremental Local Distribution Network for Unsupervised Learning -- Trend-Based Citation Count Prediction for Research Articles -- Mining Text Enriched Heterogeneous Citation Networks -- Boosting via Approaching Optimal Margin Distribution -- o-HETM: An Online Hierarchical Entity Topic Model for News Streams -- Modeling User Interest and Community Interest in Microbloggings: An Integrated Approach -- Minimal Jumping Emerging Patterns: Computation and Practical Assessment -- Factorisation -- An Empirical Study of Personal Factors and Social Effects on Rating Prediction.
Record Nr. NYU-004454708
[Pacific-Asia Conference on Knowledge Discovery and Data Mining (19th : 2015 : Ho Chi Minh City, Vietnam)]  
Materiale a stampa
Lo trovi qui: New York University