241 search results - page 40 / 49 » Defining the Goals to Optimise Data Mining Performance |
CIKM
2010
Springer
13 years 5 months ago
2010
Springer
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
FLAIRS
2004
13 years 9 months ago
2004
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Online advertising is increasingly becoming more performance oriented, where the decision to show an advertisement to a user is made based on the user’s propensity to respond to...