Classification problem is a decision making task where many researchers have been
working on. There are a number of techniques proposed to perform classification. Neural …

The algorithm on Decision tree is the most widely used method of inductive inference, and it
is a simple method of knowledge representation, Different examples can be divided into …

Background Microarray technology is increasingly used to identify potential biomarkers for
cancer prognostics and diagnostics. Previously, we have developed the iterative Bayesian …

Classification and categorization are common tasks in data mining and knowledge
discovery. Visualizations of classification models can create understanding and trust in data …

The management and control of shipboard medium voltage AC (MVAC) and medium
voltage DC (MVDC) power system architectures under fault conditions present a number of …

Intrusion detection can be considered as a classification task that attempts to classify a
request to access network services as safe or malicious. Data mining techniques are being …

When sampling signals below the Nyquist rate, efficient and accurate reconstruction is
nevertheless possible, whenever the sampling system is well behaved and the signal is well …

This paper presents a framework for a new approach in intrusion detection by combining two
existing machine learning methods (ie SVM and CSOACN). The IDS based on the new …

The present work deals with the analysis of prostatic-zinc-concentration images. The goal is
to evaluate potential clinically relevant information that can be extracted from such images …

Recommender systems aggregate information about users and items to be recommended to
generate adequate recommendations. This paper proposes two approaches to include …