Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
|
Your cart is empty |
|||
Showing 1 - 6 of 6 matches in All Departments
This book constitutes the thoroughly refereed post-conference proceedings of the First APWeb-WAIM 2018 Workshops, held jointly with the Second International Joint Conference APWeb-WAIM 2018 in Macau, China, in July 2018. The 31 full papers presented were carefully reviewed and selected from 44 submissions. The papers originating from five workshops present cutting-edge ideas, results, experiences, techniques, and tools from all aspects of web data management with the focus on mobile web data analytics; knowledge graph management and analysis; data management and mining on MOOCs; Big data analytics for healthcare; data science.
This two-volume set, LNCS 12858 and 12859, constitutes the thoroughly refereed proceedings of the 5th International Joint Conference, APWeb-WAIM 2021, held in Guangzhou, China, in August 2021. The 44 full papers presented together with 24 short papers, and 6 demonstration papers were carefully reviewed and selected from 184 submissions. The papers are organized around the following topics: Graph Mining; Data Mining; Data Management; Topic Model and Language Model Learning; Text Analysis; Text Classification; Machine Learning; Knowledge Graph; Emerging Data Processing Techniques; Information Extraction and Retrieval; Recommender System; Spatial and Spatio-Temporal Databases; and Demo.
This two-volume set, LNCS 12858 and 12859, constitutes the thoroughly refereed proceedings of the 5th International Joint Conference, APWeb-WAIM 2021, held in Guangzhou, China, in August 2021. The 44 full papers presented together with 24 short papers, and 6 demonstration papers were carefully reviewed and selected from 184 submissions. The papers are organized around the following topics: Graph Mining; Data Mining; Data Management; Topic Model and Language Model Learning; Text Analysis; Text Classification; Machine Learning; Knowledge Graph; Emerging Data Processing Techniques; Information Extraction and Retrieval; Recommender System; Spatial and Spatio-Temporal Databases; and Demo.
This book constitutes extended papers from the 5th International Conference on Technology in Education, ICTE 2020, held in August 2020. Due to the COVID-19 pandemic the conference was held online. The 30 papers presented in this volume were carefully reviewed and selected from 79 submissions. They are organized in topical sections on instructional technology; learning analysis and assessment; learning environment; open and collaborative learning; technology and education.
This book constitutes the refereed proceedings, presented on the 20th International Conference on Web Information Systems Engineering, WISE 2019 and on The International Workshop on Web Information Systems in the Era of AI, held in Hong Kong and Macau, China. Due to the problems in Hong Kong, WISE 2019 has been postponed until January 2020. The 7 workshop papers, 5 demo papers and 3 tutorial papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in the following sections: tutorials; demos; the International Workshop on Web Information Systems in the Era of AI.
This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019.The 31 revised papers presented were carefully reviewed and selected from a total of 52 submissions. They stem from the following workshops: * PAISI 2019: 14th Pacific Asia Workshop on Intelligence and Security Informatics * WeL 2019: PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future * LDRC 2019: PAKDD 2019 Workshop on Learning Data Representation for Clustering * BDM 2019: 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining * DLKT 2019: 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer
|
You may like...
|