Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
An approach to discovering temporal association rules
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Efficient calendar based temporal association rule
ACM SIGMOD Record
Applications of Data Mining in E-Business Finance: Introduction
Proceedings of the 2008 conference on Applications of Data Mining in E-Business and Finance
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Proceedings of the 18th Brazilian symposium on Multimedia and the web
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On-line advertising is booming. Compared to traditional media, such as Press and TV, Web advertising is cheap and offers interesting returns. Thus, it is attracting more and more consideration by the industry. In particular, it is now a consistent part of the marketing mix, that is, the set of different approaches to advertise a product. Data mining based optimization on Web advertising can take place at many different levels. From a data miner perspective, Internet advertising is a very interesting domain as it offers a very large amount of data produced at fast pace with a rich and precise amount of details. It also offers the valuable possibility of live hypothesis testing. Here we discuss an Apriori based optimization experiment we performed on live data. We show how effective such optimization is.