The stock market can be viewed as a particular data mining and artificial intelligence problem. The movement in the stock exchange depends on capital gains and losses and most people consider the stock market erratic and unpredictable. However, patterns that allow the prediction of some movements can be found. Stock market analysis deals with the study of these patterns. It uses different techn...

The main purpose of this study is to investigate the effect of market orientation on service innovation in Jordanian Information and Communication Technology (ICT) Sector. Customer orientation, competitor orientation, interfunctional coordination, intelligence generation, intelligence dissemination, and intelligence responsiveness were the components of market orientation in this study. The pop...

Business intelligence systems are becoming a growing trend on the market nowadays. Reason for this is the increasing amount of information generated and collected within the company and from many external sources. In order to remain competitive on the market, it is very important to collect and select relevant information in time, from which a business decision can be made. OLAP (On Line Analyt...

Stock price predictions have been a field of study from several points of view including, among others, artificial intelligence and expert systems. For short-term predictions, the technical indicator relative strength indicator (RSI) has been published in many papers and used worldwide. CAST is presented in this paper. CAST can be seen as a set of solutions for calculating the RSI using artific...

A computational market model for distributed configuration design. In Proceedings Conference of the American Association for Artificial Intelligence, pp. 401–407.

The adoption of administrative boundaries as approximations of housing markets has long restricted the scope for housing market analysis and planning policy development to be undertaken within a functional housing market framework in England. This has prompted consideration of the value of deriving Housing Market Areas (HMAs) to underpin the development of housing market intelligence for planni...

The Problem: This project is intended to study the behavior of intelligent market-makers in a competitive environment. Our artificial financial market can be populated by various types of trading agents with varying levels of intelligence. This provides a framework for testing the behavior of simple and adaptive market-makers who compete with each other for profits, and for comparing price beha...

the aim of this research is to develop a model of antecedents and consequences of iran exemplary exporters’ competitive intelligence (ci) in order to identify their strengths and weaknesses. for this purpose we discuss position and growth strategies of exporters, effective use of ci, export competitiveness enhancement and sustainable export development. based on conceptual model, knowledge mana...

This paper proposes an approach to select a market segment portfolio maximize overall profit. The study first uses artificial intelligence algorithms the segments with high profitability. mathematical programming model is then used identify most profitable portfolio. single-objective find optimal profit for baseline condition, and sensitivity analysis performed understand impact of variable cha...