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Biographie et livres de Jian Pei

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Jian Pei is currently a Canada Research Chair (Tier 1) in Big Data Science and a Professor in the School of Computing Science at Simon Fraser University. He is also an associate member of the Department of Statistics and Actuarial Science. He is a well-known leading researcher in the general areas of data science, big data, data mining, and database systems. His expertise is on developing effective and efficient data analysis techniques for novel data intensive applications. He is recognized as
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Téléchargez le livre :  Data Mining
Data Mining

Jiawei Han , Hanghang Tong , Jian Pei


Morgan Kaufmann

2022-07-02

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Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for...

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Télécharger le livre :  Graph Neural Networks: Foundations, Frontiers, and Applications
Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured data such as text. This...

Editeur : Springer
Parution : 2022-01-03
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89,66

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Télécharger le livre :  Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data....

Editeur : Morgan Kaufmann
Parution : 2011-06-09
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Télécharger le livre :  Data Mining, Southeast Asia Edition
Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the...

Editeur : Morgan Kaufmann
Parution : 2006-04-06
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