The incomplete dataset is an unescapable problem in data preprocessing that primarily machine learning algorithms could not employ to train the model. Various imputation approaches were proposed and challenged each other resolve this problem. These imputations established predict most appropriate value using different with various concepts. Furthermore, accurate estimation of method exceptional...

There is no review paper available on Artificial Intelligence (AI) applications to e-commerce to the best of knowledge. This paper is a survey of various AI techniques that are used in the design and development of ecommerce systems. The techniques are categorized into three groups namely, AI techniques for B2B ecommerce, AI techniques for B2C e-commerce, and AI techniques for both B2B and B2C ...

The paper presents computer system, named Stock Market Electronic Expert (SMEE), for Stock Market Analysis. It is developed as friendly, useful and credible computer program giving advises concerning investment policy on Stock Market. Fundamental and technical analysis are made automatically, and – on the base of obtained partial results – system produces evaluation of companies’ attractiveness...

For a decade swarm Intelligence, an artificial intelligence discipline, is concerned with the design of intelligent multi-agent systems by taking inspiration from the collective behaviors of social insects and other animal societies. They are characterized by a decentralized way of working that mimics the behavior of the swarm. Swarm Intelligence is a successful paradigm for the algorithm with ...

breast cancer is the second largest cause of cancer deaths among women. at the same time, it is also among the most curable cancer types if it can be diagnosed early. this paper presents a novel hybrid intelligent method for recognition of breast cancer tumors. the proposed method includes three main modules: the feature extraction module, the classifier module and the optimization module. in t...

In this chapter we provide a comprehensive overview of the topic of Intelligent Techniques for Web Personalization. Web Personalization is viewed as an application of data mining and machine learning techniques to build models of user behaviour that can be applied to the task of predicting user needs and adapting future interactions with the ultimate goal of improved user satisfaction. This cha...