@inproceedings{5686d20cc1294e19af80d46b1b9b05a3,
title = "A logistic regression method for cost sensetive active learning",
abstract = "Direct marketing involves offering a product or service to a carefully selected group of customers, the ones expected to render the most profits. Active learning is a data mining policy which actively selects unlabeled instances for labeling. In this research our goal is to construct a model that minimizes the net acquisition cost of selection of instances for labeling and at the same time maximizes the net profit gained from approaching selected customers. We present a new framework which combines a cost-sensitive active learning algorithm with a logistic regression classifier. We evaluated the framework on two benchmark datasets. The results appear encouraging.",
keywords = "Active learning, Cost sensitive learning, Logistic regression",
author = "Lihi Naamani and Lior Rokach and Armin Shmilovici",
year = "2008",
doi = "10.1109/EEEI.2008.4736625",
language = "אנגלית",
isbn = "9781424424825",
series = "IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings",
pages = "707--710",
booktitle = "2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel",
note = "2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008 ; Conference date: 03-12-2008 Through 05-12-2008",
}