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Hands-on pattern mining = theory and...

Rage, Uday Kiran.

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Hands-on pattern mining = theory and examples with PAMI, Sklearn, Keras, and TensorFlow /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hands-on pattern mining/ by Uday Kiran Rage.
其他題名:	theory and examples with PAMI, Sklearn, Keras, and TensorFlow /
作者:	Rage, Uday Kiran.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xvii, 182 p. :ill. (some col.), digital ;24 cm.
內容註:	Part I Fundamentals 1 Getting Started with PAMI: Introduction, Maintenance, and Usage -- 2 Handling Big Data: Classification, Storage, and Processing Techniques -- 3 Transactional Databases: Representation, Creation, and Statistics -- 4 Pattern Discovery in Transactional Databases -- 5 Temporal Databases: Representation, Creation, and Statistics -- 6 Pattern Discovery in Temporal Databases -- 7 Spatial Databases: Representation, Creation, and Statistics -- 8 Pattern Discovery in Spatial Databases -- 9 Utility Databases: Representation, Creation, and Statistics -- 10 Pattern Discovery in Utility Databases -- 11 Sequence Databases: Representation, Creation, and Statistics -- 12 Pattern Discovery in Sequence Databases -- Part II Advanced Concepts 13 Mining Symbolic Sequences -- 14 Pattern Discovery in Fuzzy Databases -- 15 Knowledge Discovery in Uncertain Databases -- 16 Finding Useful Patterns in Graph Databases -- Part III Applications 17 Discovering Air Pollution Patterns through the KDD Process -- 18 Discovering Futuristic Pollution Patterns Using Forecasting and Pattern Mining.
Contained By:	Springer Nature eBook
標題:	Data mining. -
電子資源:	https://doi.org/10.1007/978-981-96-6791-8
ISBN:	9789819667918

Hands-on pattern mining = theory and examples with PAMI, Sklearn, Keras, and TensorFlow /
Rage, Uday Kiran.

Hands-on pattern miningtheory and examples with PAMI, Sklearn, Keras, and TensorFlow /[electronic resource] :by Uday Kiran Rage. - Singapore :Springer Nature Singapore :2025. - xvii, 182 p. :ill. (some col.), digital ;24 cm.

Part I Fundamentals 1 Getting Started with PAMI: Introduction, Maintenance, and Usage -- 2 Handling Big Data: Classification, Storage, and Processing Techniques -- 3 Transactional Databases: Representation, Creation, and Statistics -- 4 Pattern Discovery in Transactional Databases -- 5 Temporal Databases: Representation, Creation, and Statistics -- 6 Pattern Discovery in Temporal Databases -- 7 Spatial Databases: Representation, Creation, and Statistics -- 8 Pattern Discovery in Spatial Databases -- 9 Utility Databases: Representation, Creation, and Statistics -- 10 Pattern Discovery in Utility Databases -- 11 Sequence Databases: Representation, Creation, and Statistics -- 12 Pattern Discovery in Sequence Databases -- Part II Advanced Concepts 13 Mining Symbolic Sequences -- 14 Pattern Discovery in Fuzzy Databases -- 15 Knowledge Discovery in Uncertain Databases -- 16 Finding Useful Patterns in Graph Databases -- Part III Applications 17 Discovering Air Pollution Patterns through the KDD Process -- 18 Discovering Futuristic Pollution Patterns Using Forecasting and Pattern Mining.

ISBN: 9789819667918

Standard No.: 10.1007/978-981-96-6791-8doiSubjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Hands-on pattern mining = theory and examples with PAMI, Sklearn, Keras, and TensorFlow /
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