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Description: 这个是www2008年会中发表的所有论文，其中包括Browsers and User Interfaces
Data Mining
Internet Monetization
Mobility
Performance and Scalability
Rich Media
Search
Security and Privacy
Semantic / Data Web
Social Networks and Web 2.0
Web Engineering
XML and Web Data
等十多个领域的文章。
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Size: 49140409 |
Author: sharon326 |
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Description: 基于隐私保护的数据挖掘是数据库技术重要的一部分，本文是对其发展的概述。-Privacy protection based on data mining is an important part of database technology, this article is an overview of their development.
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Size: 114688 |
Author: 王函 |
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Description: Effi cient, Accurate and Privacy-Preserving
Data Mining for Frequent Itemsets
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Size: 133120 |
Author: asad2001 |
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Description: privacy preserving data mining research project which is implemented in java and back end is mysql
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Size: 149504 |
Author: kartheek588 |
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Description: Social Implications of Data Mining and Information Privacy，ISR出版的关于数据挖掘的书，这个系列的书ISR共出了五本，这是其中一本-a book about data mining published by Information science reference
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Size: 6717440 |
Author: 浪打浮萍 |
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Description:
这是我好不容易获得的一本高性价书,Hillol Kargupta,Jiawei Han,Philip S.Yu,Rajeev Morwani,and Vipin Kumar 等编写的一本数据挖掘的经典力作，《next generation of data mining》，相信相关领域的科研人员定会有种如获至宝的喜悦！-This series aims to capture new developments and applications in data mining and knowledge discovery, while summarizing the computational tools and techniques useful in data analysis. This series encourages the integration of mathematical, statistical, and computational methods and techniques through the publication of a broad range of textbooks, reference works, and hand-books. The inclusion of concrete examples and applications is highly encouraged. The scope of the series includes, but is not limited to, titles in the areas of data mining and knowledge discovery methods and applications, modeling, algorithms, theory and foundations, data and knowledge visualization, data mining systems and tools, and privacy and security issues.
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Size: 19233792 |
Author: youknow |
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Description: 关于数据挖掘与隐私保护的源代码及论文，主要用到k-means的聚类分析-About Data Mining and Privacy Protection of the source code and papers, mainly used k-means clustering analysis
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Size: 704512 |
Author: 聪聪 |
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Description: We propose a protocol for secure mining of association rules in horizontally distributed s. The current leading
protocol is that of Kantarcioglu and Clifton [18]. Our protocol, like theirs, is based on the Fast Distributed Mining (FDM) algorithm of
Cheung et al. [8], which is an unsecured distributed version of the Apriori algorithm. The main ingredients in our protocol are two novel
secure multi-party algorithms—one that computes the union of private subsets that each of the interacting players hold, and another
that tests the inclusion of an element held by one player in a subset held by another. Our protocol offers enhanced privacy with respect
to the protocol in [18]. In addition, it is simpler and is significantly more efficient in terms of communication rounds, communication cost
and computational cost.
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Size: 1389568 |
Author: senthil |
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Description: Privacy preserving data mining of sequential pattern sfor network traffic data
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Size: 713728 |
Author: azarakhsh
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Description: Geolife GPS 轨迹数据集–用户指南
这一 GPS 轨迹数据集是在 (微软研究亚洲) Geolife 项目中收集的, 178 用户在四年 (2007年4月至 2011年10月) 期间。该数据集的 GPS 轨迹由一个时间戳点序列表示, 每一个都包含纬度、经度和高度信息。该数据集包含17621个轨迹, 总距离为1251654公里, 总持续时间为48203小时。该轨迹数据集可以应用于移动模式挖掘、用户活动识别、基于位置的社交网络、位置隐私和位置推荐等多个研究领域。(Geolife GPS track data set - User Guide The GPS trajectory data set was gathered in the Geolife project (Microsoft Research Asia) and 178 users over a four-year period (April 2007 to October 2011). The GPS trajectory of the data set is represented by a sequence of time stamps, each of which contains latitude, longitude and altitude information. The dataset contains 17621 trajectories with a total distance of 1251654 km and a total duration of 48203 hours. These trajectories record different GPS loggers and GPS telephones, and have various sampling rates. The trajectory of 91% is recorded in dense representation, for example, every 1 to 5 seconds or 5 to 10 meters per point. The trajectory data set can be used in many research fields, such as mobile pattern mining, user activity recognition, location-based social networks, location privacy and location recommendation.)
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Size: 22576128 |
Author: 李白43 |
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