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Privacy Preserving Data Mining
Privacy preserving data mining implies the "mining" of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. Crystallizing much of the underlying foundation, the book aims to inspire further research in this new and growing area. Privacy Preserving Data Mining is intended to be accessible to industry practitioners and policy makers, to help inform future decision making and legislation, and to serve as a useful technical reference.
Deep Learning Applications, Volume 3
This book presents a compilation of extended version of selected papers from the 19th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2020) and focuses on deep learning networks in applications such as pneumonia detection in chest X-ray images, object detection and classification, RGB and depth image fusion, NLP tasks, dimensionality estimation, time series forecasting, building electric power grid for controllable energy resources, guiding charities in maximizing donations, and robotic control in industrial environments. Novel ways of using convolutional neural networks, recurrent neural network, autoencoder, deep evidential active learning, deep rapid class a...
Content Preparation Guidelines for the Web and Information Appliances
Content preparation is an integral part of the usability equation: it answers the question of what information is needed for effective decision making. Once content preparation has been established, the question "how to present what" can be answered. Content Preparation Guidelines for the Web and Information Appliances: Cross-Cultural Comparisons p
Data Mining and Machine Learning in Cybersecurity
With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and possible
Doing Business in China
Since China's accession to the World Trade Organization (WTO) in 2002, China is now officially fully open for business and may soon be the biggest economy in the world. No one in, or embarking upon, a managerial career can afford to ignore a market that comprises one-fifth of the world's population.Doing Business in Chinais essential reading for the manager or firm setting up a business for the first time in this vital and complex market. Aimed specifically at Western and non-Chinese businesses and managers, this book offers a general framework for understanding Chinese business culture along with a guide for acquiring further knowledge on China. This text is a practical guide to business pr...
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