White Papers

Three Perspectives of Data Mining

Overview This paper reviews three recent books on data mining written from three different perspectives, i.e. databases, machine learning, and statistics. Although the exploration in this paper is suggestive instead of conclusive, it reveals that besides some common properties, different perspectives lay strong emphases on different aspects of data mining. The emphasis of the database perspective is on efficiency because this perspective strongly concerns the whole discovery process and huge data volume. The emphasis of the machine learning perspective is on effectiveness because this perspective is heavily attracted by substantive heuristics working well in data analysis although they may not always be useful. As for the statistics perspective, its emphasis is on validity because this perspective cares much for mathematical soundness behind mining methods.

Download White Paper

By downloading you agree to our Terms and Conditions. These include information regarding use of your personal data.

Publisher
Nanjing University
File Format
PDF
Date Published
Sep 19, 2008
Format
White Papers
Topics
Artificial Intelligence, Data Mining - Analysis, Database Management

Nanjing University White Papers

Dual-Sink: Using Mobile and Static Sinks for Lifetime Improvement in Wireless Sensor Networks

Dual-Sink: Using Mobile and Static Sinks for Lifetime Improvement in Wireless Sensor Networks

Mobile sink has been adopted by many schemes for lifetime improvement in wireless sensor networks. It is necessary to pr

Publisher: Nanjing University  |  Tags: data, mobility, network

iBrush: Writing Chinese Characters With Flashlight and Wireless Sensor Grid

iBrush: Writing Chinese Characters With Flashlight and Wireless Sensor Grid

Light is the widely available and pervasive resource in one's daily life. Existing research shows that light can be used

Publisher: Nanjing University