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Data Mining for Shopping Centres – Customer Knowledge-Management Framework
Shopping centers are an important part of the UK economy and have been the subject of considerable research. Relying on complex interdependencies between shoppers, retailers and owners, shopping centers are ideal for knowledge management study. Nevertheless, although retailers have been in the forefront of data mining, little has been written on Customer Knowledge Management for shopping centers. In this chapter, the authors aim to demonstrate the possibilities and draw attention to the possible implications of improving customer satisfaction. Aspects of customer knowledge management for shopping centers are considered using analogies drawn from an exploratory questionnaire survey. The objectives of a Customer Knowledge Management system could include increasing rental incomes and bringing new life back into shopping centers and towns
Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge
This paper summarizes the AAIA'17 Data Mining Challenge: Helping AI to Play
Hearthstone which was held between March 23, and May 15, 2017 at the Knowledge
Pit platform. We briefly describe the scope and background of this competition
in the context of a more general project related to the development of an AI
engine for video games, called Grail. We also discuss the outcomes of this
challenge and demonstrate how predictive models for the assessment of player's
winning chances can be utilized in a construction of an intelligent agent for
playing Hearthstone. Finally, we show a few selected machine learning
approaches for modeling state and action values in Hearthstone. We provide
evaluation for a few promising solutions that may be used to create more
advanced types of agents, especially in conjunction with Monte Carlo Tree
Search algorithms.Comment: Federated Conference on Computer Science and Information Systems,
Prague (FedCSIS-2017) (Prague, Czech Republic
M-Commerce Implementation in Nigeria: Trends and Issues
Nigeria was described as the fastest growing telecoms nation in Africa and the third in the World. The country had experienced a phenomenal growth from a teledensity of 0.49 in 2000 to 25.22 in 2007. This trend has brought about a monumental development in the major sectors of the economy, such as banking, telecoms and commerce in general.
This paper presents the level of adoption of ICT in the banking sector and investigates the prospects of m-Commerce in Nigeria based on strengths, weaknesses, opportunities and threats (SWOT) analysis.
Findings revealed that all banks in Nigeria offer e-Banking services and about 52% of the offer some forms of m-Banking services. The banks and the telecoms operators have enormous potentials and opportunities for m-Commerce but the level of patronage, quality of cell phones, lack of basic infrastructure and security issues pose a major threat to its wide scale implementation
Scaling of city attractiveness for foreign visitors through big data of human economical and social media activity
Scientific studies investigating laws and regularities of human behavior are
nowadays increasingly relying on the wealth of widely available digital
information produced by human social activity. In this paper we leverage big
data created by three different aspects of human activity (i.e., bank card
transactions, geotagged photographs and tweets) in Spain for quantifying city
attractiveness for the foreign visitors. An important finding of this papers is
a strong superlinear scaling of city attractiveness with its population size.
The observed scaling exponent stays nearly the same for different ways of
defining cities and for different data sources, emphasizing the robustness of
our finding. Temporal variation of the scaling exponent is also considered in
order to reveal seasonal patterns in the attractivenessComment: 8 pages, 3 figures, 1 tabl
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