top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Data Science and Emerging Technologies : Proceedings of DaSET 2023
Data Science and Emerging Technologies : Proceedings of DaSET 2023
Autore Bee Wah Yap
Edizione [1st ed.]
Pubbl/distr/stampa Singapore : , : Springer, , 2024
Descrizione fisica 1 online resource (574 pages)
Altri autori (Persone) Al-Jumeily OBEDhiya
BerryMichael W
Collana Lecture Notes on Data Engineering and Communications Technologies Series
ISBN 9789819702930
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910855394503321
Bee Wah Yap  
Singapore : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Lecture notes in data mining [[electronic resource] /] / edited by Michael W. Berry, Murray Browne
Lecture notes in data mining [[electronic resource] /] / edited by Michael W. Berry, Murray Browne
Pubbl/distr/stampa Hackensack, NJ, : World Scientific, c2006
Descrizione fisica 1 online resource (238 p.)
Disciplina 005.741
Altri autori (Persone) BerryMichael W
BrowneMurray
Soggetto topico Data mining
Database searching
Soggetto genere / forma Electronic books.
ISBN 1-281-37904-2
9786611379049
981-277-363-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS ; Preface ; 1 Point Estimation Algorithms ; 1. Introduction ; 2. Motivation ; 3. Methods of Point Estimation ; 4. Measures of Performance ; 5. Summary ; 2 Applications of Bayes Theorem ; 1. Introduction ; 2. Motivation ; 3. The Bayes Approach for Classification
4. Examples 5. Summary ; 3 Similarity Measures ; 1. Introduction ; 2. Motivation ; 3. Classic Similarity Measures ; 4. Example ; 5. Current Applications ; 6. Summary ; 4 Decision Trees ; 1. Introduction ; 2. Motivation ; 3. Decision Tree Algorithms
4. Example: Classification of University Students 5. Applications of Decision Tree Algorithms ; 6. Summary ; 5 Genetic Algorithms ; 1. Introduction ; 2. Motivation ; 3. Fundamentals ; 4. Example: The Traveling-Salesman ; 5. Current and Future Applications ; 6. Summary
6 Classification: Distance-based Algorithms 1. Introduction ; 2. Motivation ; 3. Distance Functions ; 4. Classification Algorithms ; 5. Current Applications ; 6. Summary ; 7 Decision Tree-based Algorithms ; 1. Introduction ; 2. Motivation ; 3. ID3 ; 4. C4.5 ; 5. C5.0
6. CART 7. Summary ; 8 Covering (Rule-based) Algorithms ; 1. Introduction ; 2. Motivation ; 3. Classification Rules ; 4. Covering (Rule-based) Algorithms ; 5. Applications of Covering Algorithms ; 6. Summary ; 9 Clustering: An Overview ; 1. Introduction ; 2. Motivation
3. The Clustering Process
Record Nr. UNINA-9910451300103321
Hackensack, NJ, : World Scientific, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Lecture notes in data mining [[electronic resource] /] / edited by Michael W. Berry, Murray Browne
Lecture notes in data mining [[electronic resource] /] / edited by Michael W. Berry, Murray Browne
Pubbl/distr/stampa Hackensack, NJ, : World Scientific, c2006
Descrizione fisica 1 online resource (238 p.)
Disciplina 005.741
Altri autori (Persone) BerryMichael W
BrowneMurray
Soggetto topico Data mining
Database searching
ISBN 1-281-37904-2
9786611379049
981-277-363-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS ; Preface ; 1 Point Estimation Algorithms ; 1. Introduction ; 2. Motivation ; 3. Methods of Point Estimation ; 4. Measures of Performance ; 5. Summary ; 2 Applications of Bayes Theorem ; 1. Introduction ; 2. Motivation ; 3. The Bayes Approach for Classification
4. Examples 5. Summary ; 3 Similarity Measures ; 1. Introduction ; 2. Motivation ; 3. Classic Similarity Measures ; 4. Example ; 5. Current Applications ; 6. Summary ; 4 Decision Trees ; 1. Introduction ; 2. Motivation ; 3. Decision Tree Algorithms
4. Example: Classification of University Students 5. Applications of Decision Tree Algorithms ; 6. Summary ; 5 Genetic Algorithms ; 1. Introduction ; 2. Motivation ; 3. Fundamentals ; 4. Example: The Traveling-Salesman ; 5. Current and Future Applications ; 6. Summary
6 Classification: Distance-based Algorithms 1. Introduction ; 2. Motivation ; 3. Distance Functions ; 4. Classification Algorithms ; 5. Current Applications ; 6. Summary ; 7 Decision Tree-based Algorithms ; 1. Introduction ; 2. Motivation ; 3. ID3 ; 4. C4.5 ; 5. C5.0
6. CART 7. Summary ; 8 Covering (Rule-based) Algorithms ; 1. Introduction ; 2. Motivation ; 3. Classification Rules ; 4. Covering (Rule-based) Algorithms ; 5. Applications of Covering Algorithms ; 6. Summary ; 9 Clustering: An Overview ; 1. Introduction ; 2. Motivation
3. The Clustering Process
Record Nr. UNINA-9910784988603321
Hackensack, NJ, : World Scientific, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Lecture notes in data mining [[electronic resource] /] / edited by Michael W. Berry, Murray Browne
Lecture notes in data mining [[electronic resource] /] / edited by Michael W. Berry, Murray Browne
Pubbl/distr/stampa Hackensack, NJ, : World Scientific, c2006
Descrizione fisica 1 online resource (238 p.)
Disciplina 005.741
Altri autori (Persone) BerryMichael W
BrowneMurray
Soggetto topico Data mining
Database searching
ISBN 1-281-37904-2
9786611379049
981-277-363-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS ; Preface ; 1 Point Estimation Algorithms ; 1. Introduction ; 2. Motivation ; 3. Methods of Point Estimation ; 4. Measures of Performance ; 5. Summary ; 2 Applications of Bayes Theorem ; 1. Introduction ; 2. Motivation ; 3. The Bayes Approach for Classification
4. Examples 5. Summary ; 3 Similarity Measures ; 1. Introduction ; 2. Motivation ; 3. Classic Similarity Measures ; 4. Example ; 5. Current Applications ; 6. Summary ; 4 Decision Trees ; 1. Introduction ; 2. Motivation ; 3. Decision Tree Algorithms
4. Example: Classification of University Students 5. Applications of Decision Tree Algorithms ; 6. Summary ; 5 Genetic Algorithms ; 1. Introduction ; 2. Motivation ; 3. Fundamentals ; 4. Example: The Traveling-Salesman ; 5. Current and Future Applications ; 6. Summary
6 Classification: Distance-based Algorithms 1. Introduction ; 2. Motivation ; 3. Distance Functions ; 4. Classification Algorithms ; 5. Current Applications ; 6. Summary ; 7 Decision Tree-based Algorithms ; 1. Introduction ; 2. Motivation ; 3. ID3 ; 4. C4.5 ; 5. C5.0
6. CART 7. Summary ; 8 Covering (Rule-based) Algorithms ; 1. Introduction ; 2. Motivation ; 3. Classification Rules ; 4. Covering (Rule-based) Algorithms ; 5. Applications of Covering Algorithms ; 6. Summary ; 9 Clustering: An Overview ; 1. Introduction ; 2. Motivation
3. The Clustering Process
Record Nr. UNINA-9910820391603321
Hackensack, NJ, : World Scientific, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Soft Computing in Data Science [[electronic resource] ] : 4th International Conference, SCDS 2018, Bangkok, Thailand, August 15-16, 2018, Proceedings / / edited by Bee Wah Yap, Azlinah Hj Mohamed, Michael W. Berry
Soft Computing in Data Science [[electronic resource] ] : 4th International Conference, SCDS 2018, Bangkok, Thailand, August 15-16, 2018, Proceedings / / edited by Bee Wah Yap, Azlinah Hj Mohamed, Michael W. Berry
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XVIII, 404 p. 229 illus., 165 illus. in color.)
Disciplina 016.403
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Optical data processing
Application software
Artificial Intelligence
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
ISBN 981-13-3441-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine and deep learning -- Image processing -- Financial and fuzzy mathematics -- Optimization algorithms -- Data and text analytics -- Data visualization.
Record Nr. UNINA-9910350237403321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Soft Computing in Data Science [[electronic resource] ] : 5th International Conference, SCDS 2019, Iizuka, Japan, August 28–29, 2019, Proceedings / / edited by Michael W. Berry, Bee Wah Yap, Azlinah Mohamed, Mario Köppen
Soft Computing in Data Science [[electronic resource] ] : 5th International Conference, SCDS 2019, Iizuka, Japan, August 28–29, 2019, Proceedings / / edited by Michael W. Berry, Bee Wah Yap, Azlinah Mohamed, Mario Köppen
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (395 pages)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Application software
Data mining
Optical data processing
Artificial Intelligence
Information Systems Applications (incl. Internet)
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
ISBN 981-15-0399-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Information and Customer Analytics -- Visual Data Science -- Machine and Deep Learning -- Big Data Analytics -- Computational and Artificial Intelligence -- Social Network and Media Analytics.
Record Nr. UNINA-9910350216403321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Soft Computing in Data Science [[electronic resource] ] : Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27–28, 2017, Proceedings / / edited by Azlinah Mohamed, Michael W. Berry, Bee Wah Yap
Soft Computing in Data Science [[electronic resource] ] : Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27–28, 2017, Proceedings / / edited by Azlinah Mohamed, Michael W. Berry, Bee Wah Yap
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XV, 317 p. 123 illus.)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Data mining
Optical data processing
Big data
Algorithms
Artificial Intelligence
Data Mining and Knowledge Discovery
Computer Imaging, Vision, Pattern Recognition and Graphics
Big Data
Algorithm Analysis and Problem Complexity
ISBN 981-10-7242-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Deep learning and real-time classification -- Image feature classification and extraction -- Classification, clustering, visualization -- Applications of machine learning -- Data visualization -- Fuzzy logic -- Prediction models and e-learning -- Text and sentiment analytics.
Record Nr. UNINA-9910254830703321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Soft Computing in Data Science [[electronic resource] ] : Second International Conference, SCDS 2016, Kuala Lumpur, Malaysia, September 21-22, 2016, Proceedings / / edited by Michael W. Berry, Azlinah Hj. Mohamed, Bee Wah Yap
Soft Computing in Data Science [[electronic resource] ] : Second International Conference, SCDS 2016, Kuala Lumpur, Malaysia, September 21-22, 2016, Proceedings / / edited by Michael W. Berry, Azlinah Hj. Mohamed, Bee Wah Yap
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XIX, 311 p. 90 illus.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Data mining
Artificial intelligence
Algorithms
Data Mining and Knowledge Discovery
Artificial Intelligence
Algorithm Analysis and Problem Complexity
ISBN 981-10-2777-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial neural networks -- Classification, clustering, visualization -- Fuzzy logic -- Information and sentiment analytics.
Record Nr. UNINA-9910254987603321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Soft Computing in Data Science [[electronic resource] ] : First International Conference, SCDS 2015, Putrajaya, Malaysia, September 2-3, 2015, Proceedings / / edited by Michael W. Berry, Azlinah Mohamed, Bee Wah Yap
Soft Computing in Data Science [[electronic resource] ] : First International Conference, SCDS 2015, Putrajaya, Malaysia, September 2-3, 2015, Proceedings / / edited by Michael W. Berry, Azlinah Mohamed, Bee Wah Yap
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XV, 276 p. 94 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Data mining
Algorithms
Artificial intelligence
Pattern recognition
User interfaces (Computer systems)
Data Mining and Knowledge Discovery
Algorithm Analysis and Problem Complexity
Artificial Intelligence
Pattern Recognition
User Interfaces and Human Computer Interaction
ISBN 981-287-936-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910298963003321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Supervised and Unsupervised Learning for Data Science / / edited by Michael W. Berry, Azlinah Mohamed, Bee Wah Yap
Supervised and Unsupervised Learning for Data Science / / edited by Michael W. Berry, Azlinah Mohamed, Bee Wah Yap
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (VIII, 187 p. 55 illus., 45 illus. in color.)
Disciplina 621.382
006.31
Collana Unsupervised and Semi-Supervised Learning
Soggetto topico Electrical engineering
Signal processing
Image processing
Speech processing systems
Pattern recognition
Artificial intelligence
Data mining
Communications Engineering, Networks
Signal, Image and Speech Processing
Pattern Recognition
Artificial Intelligence
Data Mining and Knowledge Discovery
ISBN 3-030-22475-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter1: A Systematic Review on Supervised & Unsupervised Machine Learning Algorithms for Data Science -- Chapter2: Overview of One-Pass and Discard-After-Learn Concepts for Classification and Clustering in Streaming Environment with Constraints -- Chapter3: Distributed Single-Source Shortest Path Algorithms with Two Dimensional Graph Layout -- Chapter4: Using Non-Negative Tensor Decomposition for Unsupervised Textual Influence Modeling -- Chapter5: Survival Support Vector Machines: A Simulation Study and Its Health-related Application -- Chapter6: Semantic Unsupervised Learning for Word Sense Disambiguation -- Chapter7: Enhanced Tweet Hybrid Recommender System using Unsupervised Topic Modeling and Matrix Factorization based Neural Network -- Chapter8: New Applications of a Supervised Computational Intelligence (CI) Approach: Case Study in Civil Engineering.
Record Nr. UNINA-9910366591103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui