Frauds in insurance industry are one of the major sources of operational risk of insurance companies and constitute a significant portion of their losses. Every reasonable company on the market aims for improving their processes of uncovering frauds and invests their resources to reduce them. This article is addressing fraud management area from the view of extension of existing Business Intell...

Since John McCarthy at MIT coined the term artificial intelligence in 1956 aiming to make a machine have a human-like intelligence in a visible future, we have had lots of discussions whether it is possible in a true sense, and lots of intelligent machines have been reported. Nowadays, the term is ubiquitous in our community. In this chapter we discuss how those proposed machine intelligences a...

In recent years, social, economic and fiscal factors have produced strong modifications of the Italian real estate market, that currently appears as a complex system characterized by continuous transformation. In this context, for real estate operators the use of “slender” tools, able i) to operate even on limited data, ii) to automatically capture from data the causal relations between explana...

The concept of social networks in conjunction with concepts from economics has attracted considerable attention in recent years. In this paper we propose the Stochastic Diffusion Market Search (SDMS), a novel contextual advertising method for mutual advertisement hosting among participating entities, where each owns a web site. In the scenario considered each participating agent/web-site buys o...

Service selection is an important issue for market-oriented Grid infrastructures. However, few results have been published on the use and evaluation of market models in deployed prototypes, making it difficult to assess their capabilities. In this paper we study the integration of an extended version of Zero Intelligence Plus (ZIP) agents in a middleware for economics-based selection of Grid se...

• Amit Saraswat, Ashish Saini and Ajay Kumar Saxena, “A Novel Multi-Zone Reactive Power Market Settlement Model: A Pareto-Optimization Approach”, Energy, Elsevier. Available Online at: http://dx.doi.org/10.1016/j.energy.2012.12.009 (In Press) • Ashish Saini and Amit Saraswat, “Multi-Objective Day-Ahead Localized Reactive Power Market Clearing Model using HFMOEA”, Int. J. of Electrical Power & E...