Data mining for co-location patterns : principles and applications
Material type:
- 9780367654269
- 006.3 ZHO-D
- QA278.55 .Z46 2022
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
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IIITD Reference | Computer Science and Engineering | REF 006.3 ZHO-D (Browse shelf(Opens below)) | Loan on demand | 010862 |
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REF 006.3 WIT-D Data mining : | REF 006.3 WOO-I An introduction to multiagent systems | REF 006.3 ZAK-D Data mining and analysis : | REF 006.3 ZHO-D Data mining for co-location patterns : | REF 006.31 AFF-G Genetic algorithms and genetic programming : | REF 006.31 BAR-B Bayesian reasoning and machine learning | REF 006.31 BEK-S Scaling up machine learning |
Includes bibliographical references and index.
"This book focuses on data mining for co-location pattern, a valid method for identifying patterns from all types of data and applying them in business intelligence and analytics. It explains the fundamentals of co-location pattern mining, co-location decision tree, and maximal instance co-location pattern mining along with an in-depth overview of data mining, machine learning, and statistics. This arrangement of chapters helps readers understand the methods of co-location pattern mining step-by-step and their applications in pavement management, image classification, geospatial buffer analysis, etc"--
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