Load information plays an important role in deregulated electricity markets, since it is the
primary factor to make critical decisions on production planning, day-to-day operations, unit …

Feature selection and extraction are frequently used solutions to overcome the curse of
dimensionality in text classification problems. We introduce an extraction method that …

We introduce a new method for dimensionality reduction by attribute extraction and evaluate
its impact on text classification. The textual contents in body sections of the news in Reuters-…

With the liberalization of the Turkish electricity market, accurately forecasting short-term
electricity prices became an important issue for the market players. Although majority of price …

This paper introduces a new algorithm for dimensionality reduction and its application on
web page classification. A heterogeneous collection of web pages is used as the dataset. …

Gene co-expression networks (GCN) present undirected relations between genes to understand
molecular structures behind the diseases, including cancer. The utilization of various …

It is very important to forecast the electric prices in deregulated markets for both producers
and brokers. This information is crucial to make effective decisions concerning to production, …

Regression testing is an important process for software quality. Test case reduction is one of
the widely used techniques for regression testing, which can dramatically decrease the …

… 1 Göksel Biricik, 2 Sercan Solmaz, 3 Ertan Özdemir, 4 M. Fatih Amasyalı … 1 goksel@ce.yildiz.edu.tr,
2 [email protected], 3 [email protected], 4 [email protected] …

Forecasting the electric load demand in advance is very important in deregulated market
conditions to give proper production, purchase, maintenance and investment decisions. Correct …