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挖掘网络的进展
Advances in Mining the Web |
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| 课程网址: |
http://videolectures.net/kdd09_zaiane_mobasher_spiliopoulou_nasra...
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| 主讲教师: |
Bamshad Mobasher, Olfa Nasraoui, Myra Spiliopoulou, Osmar R. Zaïane
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| 开课单位: |
马格德堡大学
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| 开课时间: |
2019-09-14
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| 课程语种: |
英语
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| 中文简介: |
Web改变了我们的生活方式，Web 2.0改变了我们对Web的感知和使用方式。现在，在旨在丰富Web用户体验的众多应用程序中需要进行数据分析。我们首先讨论社交网络的数据挖掘。我们详细介绍了社交网络分析，并专注于社区挖掘，然后转向推荐引擎和个性化。我们讨论了从传统Web到Web 2.0的转变所带来的挑战。然后，我们关注两个问题，即保护Web应用程序免受操纵的需要以及使它们适应变化的需要。我们首先讨论推荐系统中的操纵/攻击并提出反措施。然后，我们详细说明如何在分析点击流数据，监控新闻和博客中的主题，或监控社区及其演变的应用程序中处理变更/概念漂移。本教程面向具有数据挖掘一般背景的新手研究人员。有兴趣了解与社交网络相关的潜力和挑战。参与者应该对采矿（矢量空间模型）的推荐引擎，个性化和文本建模有基本的了解。他们将学习如何扩展基本技术，并设计新的技术来挖掘Web，尤其是社交Web。他们还将了解仍然存在的问题，并需要进一步的研究，教程参与者可能决定自己执行。
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| 课程简介: |
The Web has changed our way of life and the Web 2.0 has changed our way of perceiving and using the Web. Data analysis is now required in a plethora of applications that aim to enrich the experience of people with the Web. We first discuss data mining for the social Web. We elaborate on social network analysis and focus on community mining, then go over to recommendation engines and personalization. We discuss the challenges that emerged through the shift from the traditional Web to Web 2.0. We then focus on two issues - the need to protect Web applications from manipulation and the need to make them adaptive towards change. We first discuss manipulations/attacks in recommender systems and present counter-measures. We then elaborate on how changes/concept drifts can be dealt with in applications that analyze clickstream data, monitor topics in news and blogs, or monitor communities and their evolution. This tutorial is aimed at novice researchers that have general background in data mining and are interested in understanding the potential and challenges pertinent to the social Web. The participants should have a basic understanding of recommendation engines, personalization and text modeling for mining (vector space models). They will learn how basic techniques are extended and new techniques are designed for mining the Web, especially the social Web. They will also learn about issues that are still open and require further research - research that the tutorial participants may decide to perform themselves.
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| 关 键 词: |
应用程序; 数据分析; 社交网络
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| 课程来源: |
视频讲座网
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| 最后编审: |
2019-05-10：cwx
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| 阅读次数: |
27
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图 书 馆