Online product reviews are a major source of business intelligence (BI) that helps managers
and marketers understand customers' concerns and interests. The large volume of review …

A massive rise in web-based online content today pushes businesses to implement new
approaches and resources that might support better navigation, processing, and handling of …

ABSTRACT The ADTree (Alternating Decision Tree) is a supervised classification technique
that combines decision trees with the predictive accuracy into a set of classification rules & …

Data mining is the process of analyzing a huge database from different perspectives and
summarizing it into useful information. One of the well-studied problems in data mining is …

Starting from geophysical data collected from heterogeneous sources, such as
meteorological stations and information gathered from the web, we seek unknown …

Association rule of the well-studied techniques in data mining is the exploratory data
analysis for understanding the relevance among the items in a huge database. This method …

The process of knowledge discovery from big and high dimensional datasets has become a
popular research topic. The classification problem is a key task in bioinformatics, business …

The purpose of this paper is to investigate the ability of binary classification using the
possitive negative association rules mining (PNARs) for large dataset. The PNARs (as …

ABSTRACT Association Rule Mining (ARM) is one of the fundamental components in the
field of data mining that discovers frequent itemsets and interesting relationships for …

Data mining is the representative analysis methodology in the era of big data, and is the
process to analyze a massive volume database and summarize it into meaningful …