Uday Kiran Rage (79 results)

Hardcover. Condition: new. Hardcover. This book introduces pattern mining by presenting various pattern mining techniques and giving hands-on experience with each technique. Pattern mining is a popular data mining technique with many real-world applications, and involves discovering all user interest-based patterns that may exist in a database. Several models and numerous algorithms were described in the literature to find these patterns in binary databases, quantitative databases, uncertain databases, and streams. Since the lack of a Python toolkit containing these algorithms has limited the wide adaptability of pattern-mining techniques, the author developed Pattern Mining (PAMI) Python library, which currently contains 80+ algorithms to discover useful patterns in transactional databases, temporal databases, quantitative databases, and graphs.The book consists of three main parts: Introduction: The first chapter introduces big data, types of learning techniques, and the importance of pattern mining. The second chapter introduces the PAMI library, its organizational structure, installation, and usage. Pattern mining algorithms and examples: The following chapters present the state-of-the-art techniques for discovering user interest-based patterns in (1) transactional databases, (2) temporal databases, (3) quantitative databases, (4) uncertain databases, (5) sequential databases, and (6) graphs. Applications: The book concludes with several applications, where the predicted knowledge using TensorFlow and PyTorch was transformed into a database to discover future trends or patterns. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: Brand New. 200 pages. 9.26x6.11x8.80 inches. In Stock.

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Paperback. Condition: new. Paperback. This volume constitutes the papers of several workshops which were held in conjunction with the 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held as virtual event in April 2022.The 30 revised full papers presented in this book were carefully reviewed and selected from 65 submissions. DASFAA 2022 presents the following five workshops: First workshop on Pattern mining and Machine learning in Big complex Databases (PMBD 2021) 6th International Workshop on Graph Data Management and Analysis (GDMA 2022) First International Workshop on Blockchain Technologies (IWBT2022) 8th International Workshop on Big Data Management and Service (BDMS 2022) First workshop on Managing Air Quality Through Data Science 7th International Workshop on Big Data Quality Management (BDQM 2022). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. In.

Condition: new.

Condition: New. In.

PF. Condition: New.

Hardcover. Condition: new. Hardcover. This book introduces pattern mining by presenting various pattern mining techniques and giving hands-on experience with each technique. Pattern mining is a popular data mining technique with many real-world applications, and involves discovering all user interest-based patterns that may exist in a database. Several models and numerous algorithms were described in the literature to find these patterns in binary databases, quantitative databases, uncertain databases, and streams. Since the lack of a Python toolkit containing these algorithms has limited the wide adaptability of pattern-mining techniques, the author developed Pattern Mining (PAMI) Python library, which currently contains 80+ algorithms to discover useful patterns in transactional databases, temporal databases, quantitative databases, and graphs.The book consists of three main parts: Introduction: The first chapter introduces big data, types of learning techniques, and the importance of pattern mining. The second chapter introduces the PAMI library, its organizational structure, installation, and usage. Pattern mining algorithms and examples: The following chapters present the state-of-the-art techniques for discovering user interest-based patterns in (1) transactional databases, (2) temporal databases, (3) quantitative databases, (4) uncertain databases, (5) sequential databases, and (6) graphs. Applications: The book concludes with several applications, where the predicted knowledge using TensorFlow and PyTorch was transformed into a database to discover future trends or patterns. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New.

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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 804 | Sprache: Englisch | Produktart: Bücher | The three-volume set LNCS 13245, 13246 and 13247 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held online, in April 2021.The total of 72 full papers, along with 76 short papers, are presented in this three-volume set was carefully reviewed and selected from 543 submissions. Additionally, 13 industrial papers, 9 demo papers and 2 PhD consortium papers are included. The conference was planned to take place in Hyderabad, India, but it was held virtually due to the COVID-19 pandemic.

PF. Condition: New.

Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Condition: New.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces pattern mining by presenting various pattern mining techniques and giving hands-on experience with each technique. Pattern mining is a popular data mining technique with many real-world applications, and involves discovering all user interest-based patterns that may exist in a database. Several models and numerous algorithms were described in the literature to find these patterns in binary databases, quantitative databases, uncertain databases, and streams. Since the lack of a Python toolkit containing these algorithms has limited the wide adaptability of pattern-mining techniques, the author developed Pattern Mining (PAMI) Python library, which currently contains 80+ algorithms to discover useful patterns in transactional databases, temporal databases, quantitative databases, and graphs.The book consists of three main parts: Introduction: The first chapter introduces big data, types of learning techniques, and the importance of pattern mining. The second chapter introduces the PAMI library, its organizational structure, installation, and usage. Pattern mining algorithms and examples: The following chapters present the state-of-the-art techniques for discovering user interest-based patterns in (1) transactional databases, (2) temporal databases, (3) quantitative databases, (4) uncertain databases, (5) sequential databases, and (6) graphs.

Condition: New. In.

Condition: New. In.

Paperback. Condition: Brand New. 444 pages. 9.25x6.10x9.21 inches. In Stock.

Condition: New.

Hardcover. Condition: new. Hardcover. This book introduces pattern mining by presenting various pattern mining techniques and giving hands-on experience with each technique. Pattern mining is a popular data mining technique with many real-world applications, and involves discovering all user interest-based patterns that may exist in a database. Several models and numerous algorithms were described in the literature to find these patterns in binary databases, quantitative databases, uncertain databases, and streams. Since the lack of a Python toolkit containing these algorithms has limited the wide adaptability of pattern-mining techniques, the author developed Pattern Mining (PAMI) Python library, which currently contains 80+ algorithms to discover useful patterns in transactional databases, temporal databases, quantitative databases, and graphs.The book consists of three main parts: Introduction: The first chapter introduces big data, types of learning techniques, and the importance of pattern mining. The second chapter introduces the PAMI library, its organizational structure, installation, and usage. Pattern mining algorithms and examples: The following chapters present the state-of-the-art techniques for discovering user interest-based patterns in (1) transactional databases, (2) temporal databases, (3) quantitative databases, (4) uncertain databases, (5) sequential databases, and (6) graphs. Applications: The book concludes with several applications, where the predicted knowledge using TensorFlow and PyTorch was transformed into a database to discover future trends or patterns. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 12th International Conference onBig Data and Artificial Intelligence, BDA 2024, held in Hyderabad, India, during December 17-20, 2024.The 16 full papers and 12 short papers presented here were carefully reviewed and selected from 106 submissions. These papers have been categorized under the following topical sections:Image Classification;Graph Analytics;Big Data Analytics;Applications;Data Science;Health-Care Analytics;eLearning;Prediction and Forecasting.

Taschenbuch. Condition: Neu. Big Data and Artificial Intelligence | 12th International Conference, BDA 2024, Hyderabad, India, December 17-20, 2024, Proceedings | Anirban Dasgupta (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvi | Englisch | 2025 | Springer | EAN 9783031818202 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: Neu. Neuware -This volume constitutes the papers of several workshops which were held in conjunction with the 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held as virtual event in April 2022.The 30 revised full papers presented in this book were carefully reviewed and selected from 65 submissions.DASFAA 2022 presents the following five workshops: First workshop on Pattern mining and Machine learning in Big complex Databases (PMBD 2021) 6th International Workshop on Graph Data Management and Analysis (GDMA 2022) First International Workshop on Blockchain Technologies (IWBT2022) 8th International Workshop on Big Data Management and Service (BDMS 2022) First workshop on Managing Air Quality Through Data Science 7th International Workshop on Big Data Quality Management (BDQM 2022).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 456 pp. Englisch.

Taschenbuch. Condition: Neu. Database Systems for Advanced Applications. DASFAA 2022 International Workshops | BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMBD, Virtual Event, April 11-14, 2022, Proceedings | Uday Kiran Rage (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xv | Englisch | 2022 | Springer | EAN 9783031112164 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condition: New.

Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Taschenbuch. Condition: Neu. Neuware -The three-volume set LNCS 13245, 13246 and 13247 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held online, in April 2021. The total of 72 full papers, along with 76 short papers, are presented in this three-volume set was carefully reviewed and selected from 543 submissions. Additionally, 13 industrial papers, 9 demo papers and 2 PhD consortium papers are included. The conference was planned to take place in Hyderabad, India, but it was held virtually due to the COVID-19 pandemic.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 584 pp. Englisch.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume constitutes the papers of several workshops which were held in conjunction with the 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held as virtual event in April 2022.The 30 revised full papers presented in this book were carefully reviewed and selected from 65 submissions.DASFAA 2022 presents the following five workshops: First workshop on Pattern mining and Machine learning in Big complex Databases (PMBD 2021) 6th International Workshop on Graph Data Management and Analysis (GDMA 2022) First International Workshop on Blockchain Technologies (IWBT2022) 8th International Workshop on Big Data Management and Service (BDMS 2022) First workshop on Managing Air Quality Through Data Science 7th International Workshop on Big Data Quality Management (BDQM 2022).