Books written by Jian Pei
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Ranking Queries on Uncertain Data
922–933 J. Pei, B. Jiang, X. Lin, Y. Yuan, in Proceedings of the 33rd International Conference on Very Large Data Bases (VLDB'07) (Viena, Austria, 2007) K. Goebel, A.M. Agogino, Journal of Dynamic Systems, Measurement, ...
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Data Mining, Southeast Asia Edition
An overview of image mining methods is performed by Hsu, Lee, and Zhang [HLZ02]. Text data analysis has been studied extensively in information retrieval, with many good textbooks and survey articles, such as Salton and McGill [SM83], ...
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Data Mining: Concepts and Techniques
P. S. Yu, J. Han, and C. Faloutsos. Link Mining: Models, Algorithms and Applications. New York: Springer, 2010. X. Yin, J. Han, and P. S. Yu. Cross-relational clustering with user's guidance. In Proc. 2005 ACM SIGKDD Int. Conf.
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Database Systems for Advanced Applications: 23rd International Conference, DASFAA 2018, Gold Coast, QLD, Australia, May 21-24, 2018, Proceedings, Part I
... S., Lathia, N., Mascolo, C.: A random walk around the city: new venue recommendation in location-based social networks. ... B., Fu, Y., Yao, Z., Xiong, H.: Learning geographical preferences for point-ofinterest recommendation.
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Data Mining: Concepts and Techniques
Specifically, it explains data mining and the tools used in discovering knowledge from collected data, known as KDD. The book focuses on the feasibility, usefulness, effectiveness and scalability of techniques of large datasets.
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Database Systems for Advanced Applications: 23rd International Conference, DASFAA 2018, Gold Coast, QLD, Australia, May 21-24, 2018, Proceedings, Part II
23rd International Conference, DASFAA 2018, Gold Coast, QLD, Australia, May 21-24, 2018, Proceedings, Part II Jian Pei, Yannis Manolopoulos, ... In: Proceedings of the Ninth International Workshop on Data Management on New Hardware.
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Graph Neural Networks: Foundations, Frontiers, and Applications
This book provides a comprehensive introduction of GNNs. It first discusses the goals of graph representation learning and then reviews the history, current developments, and future directions of GNNs.
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Graph Neural Networks: Foundations, Frontiers, and Applications
This book provides a comprehensive introduction of GNNs. It first discusses the goals of graph representation learning and then reviews the history, current developments, and future directions of GNNs.
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Sequence Data Mining
Sequence Data Mining is designed for professionals working in bioinformatics, genomics, web services, and financial data analysis. This book is also suitable for advanced-level students in computer science and bioengineering.
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Advanced Data Mining and Applications: 5th International Conference, ADMA 2009, Chengdu, China, August 17-19, 2009, Proceedings
Chien, C.F., Chen, L.F.: Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry. Expert Systems and Applications 34, 280–290 (2008) 3. DeNisi, A.S., Griffin, R.W.: Human Resource ...
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Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2013 Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Golden Coast,...
... data ambiguity due to ... optimization that is very promising to find the global optimal solution. OptGene is an extended approach of OptKnock which formulates the in silico design problem by using Genetic Algorithm (GA) [4]. Meta-heuristic ...
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Data Mining: Concepts and Techniques
... its own subgraphs is above some threshold. The number of coherent substructures is significantly smaller than that of frequent substructures. Thus mining coherent ... mining: application examples 5.6.1 Phrase mining in massive text data.
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Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part...
The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013.