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Business intelligence and data mining / / Anil K. Maheshwari
Business intelligence and data mining / / Anil K. Maheshwari
Autore Maheshwari Anil <1949-, >
Edizione [First edition.]
Pubbl/distr/stampa New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015
Descrizione fisica 1 online resource (180 p.)
Disciplina 658.4038
Collana Big data and business analytics collection
Soggetto topico Business information services
Data mining
Business intelligence
Soggetto genere / forma Electronic books.
Soggetto non controllato Data Analytics
Data Mining
Business Intelligence
Decision Trees
Regression
Neural Networks
Cluster analysis
Association rules
ISBN 1-63157-121-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Wholeness of business intelligence and data mining -- 2. Business intelligence concepts and applications -- 3. Data warehousing -- 4. Data mining -- 5. Decision trees -- 6. Regression -- 7. Artificial neural networks -- 8. Cluster analysis -- 9. Association rule mining -- 10. Text mining -- 11. Web mining -- 12. Big data -- 13. Data modeling primer -- Additional resources -- Index.
Record Nr. UNINA-9910459798703321
Maheshwari Anil <1949-, >  
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Business intelligence and data mining / / Anil K. Maheshwari
Business intelligence and data mining / / Anil K. Maheshwari
Autore Maheshwari Anil <1949-, >
Edizione [First edition.]
Pubbl/distr/stampa New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015
Descrizione fisica 1 online resource (180 p.)
Disciplina 658.4038
Collana Big data and business analytics collection
Soggetto topico Business information services
Data mining
Business intelligence
Soggetto non controllato Data Analytics
Data Mining
Business Intelligence
Decision Trees
Regression
Neural Networks
Cluster analysis
Association rules
ISBN 1-63157-121-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Wholeness of business intelligence and data mining -- 2. Business intelligence concepts and applications -- 3. Data warehousing -- 4. Data mining -- 5. Decision trees -- 6. Regression -- 7. Artificial neural networks -- 8. Cluster analysis -- 9. Association rule mining -- 10. Text mining -- 11. Web mining -- 12. Big data -- 13. Data modeling primer -- Additional resources -- Index.
Record Nr. UNINA-9910787215903321
Maheshwari Anil <1949-, >  
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Business intelligence and data mining / / Anil K. Maheshwari
Business intelligence and data mining / / Anil K. Maheshwari
Autore Maheshwari Anil <1949-, >
Edizione [First edition.]
Pubbl/distr/stampa New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015
Descrizione fisica 1 online resource (180 p.)
Disciplina 658.4038
Collana Big data and business analytics collection
Soggetto topico Business information services
Data mining
Business intelligence
Soggetto non controllato Data Analytics
Data Mining
Business Intelligence
Decision Trees
Regression
Neural Networks
Cluster analysis
Association rules
ISBN 1-63157-121-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Wholeness of business intelligence and data mining -- 2. Business intelligence concepts and applications -- 3. Data warehousing -- 4. Data mining -- 5. Decision trees -- 6. Regression -- 7. Artificial neural networks -- 8. Cluster analysis -- 9. Association rule mining -- 10. Text mining -- 11. Web mining -- 12. Big data -- 13. Data modeling primer -- Additional resources -- Index.
Record Nr. UNINA-9910828095403321
Maheshwari Anil <1949-, >  
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning for Data Science Handbook : Data Mining and Knowledge Discovery Handbook / Lior Rokach, Oded Maimon, Erez Shmueli editors
Machine Learning for Data Science Handbook : Data Mining and Knowledge Discovery Handbook / Lior Rokach, Oded Maimon, Erez Shmueli editors
Edizione [3. ed]
Pubbl/distr/stampa Cham, : Springer, 2023
Descrizione fisica vii, 985 p. : ill. ; 24 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
68T09 - Computational aspects of data analysis and big data [MSC 2020]
Soggetto non controllato Analytics
Artificial Intelligence
Autoencoder
Clustering
Data Mining
Data imputation
Data science
Decision Trees
Deep Learning
Dimensionality reduction
Ensemble Learning
Generative Adversarial Networks
Knowledge Discovery
Machine learning
Neural networks
Privacy Preserving
Recommender system
Text Mining
Web mining
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00278867
Cham, : Springer, 2023
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Random Forests with R / Robin Genuer, Jean-Michel Poggi
Random Forests with R / Robin Genuer, Jean-Michel Poggi
Autore Genuer, Robin
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica x, 98 p. : ill. ; 24 cm
Altri autori (Persone) Poggi, Jean-Michel
Soggetto topico 62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
Soggetto non controllato Classification
Data analysis
Decision Trees
High-Dimensional Data
Interpretable Methods
Machine learning
Nearest neighbor
R packages
Random forests
Regression
Supervised Methods
Variable Importance
Variable Selection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0249700
Genuer, Robin  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Random Forests with R / Robin Genuer, Jean-Michel Poggi
Random Forests with R / Robin Genuer, Jean-Michel Poggi
Autore Genuer, Robin
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica x, 98 p. : ill. ; 24 cm
Altri autori (Persone) Poggi, Jean-Michel
Soggetto topico 62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
Soggetto non controllato Classification
Data analysis
Decision Trees
High-Dimensional Data
Interpretable Methods
Machine learning
Nearest neighbor
R packages
Random forests
Regression
Supervised Methods
Variable Importance
Variable Selection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00249700
Genuer, Robin  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Statistical learning from a regression perspective / Richard A. Berk
Statistical learning from a regression perspective / Richard A. Berk
Autore Berk, Richard A.
Edizione [3. ed]
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xvii, 358 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020]
62P25 - Applications of statistics to social sciences [MSC 2020]
Soggetto non controllato Bagging
Boosting
Classification
Decision Trees
Generalized additive model
Machine learning
Neural networks
Random forests
Support Vector Machines
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0249858
Berk, Richard A.  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Statistical learning from a regression perspective / Richard A. Berk
Statistical learning from a regression perspective / Richard A. Berk
Autore Berk, Richard A.
Edizione [3. ed]
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xvii, 358 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020]
62P25 - Applications of statistics to social sciences [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
Soggetto non controllato Bagging
Boosting
Classification
Decision Trees
Generalized additive model
Machine learning
Neural networks
Random forests
Support Vector Machines
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00249858
Berk, Richard A.  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui