| Autor: |
Manjunatha, J. N., Sivaramakrishnan, K. R., Pandey, Raghavendra Kumar, Murthy, M Narasimha |
| Zdroj: |
ACM SIGKDD Explorations Newsletter; December 2003, Vol. 5 Issue: 2 p152-153, 2p |
| Abstrakt: |
In this article we describe our experiences in building the winning system for KDD Cup, 2003, Task 1. This year's competition was based on a very large archive of research papers that provides an unusually comprehensive snapshot of a particular social network in action; in addition to the full text of research papers, it includes both explicit citation structure and partial data on the downloading of papers by users. It provides a framework for testing general network and usage mining techniques, which can be explored via four varied and interesting tasks. Each task is a separate competition with its own specific goal. In task 1 the goal is to predict the change in number of citations to each paper in the archive over time.The contest was very challenging because the given data was not in a format suitable for conventional data mining techniques. So we had to do a considerable amount of data processing. Also there were different sources of data like tex files, citation graph, slac-data database. So we had to make a decision about which sources to use and how much to use. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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