Analysis of investors’ preferences in the Montenegro stock market using data mining techniques Ljiljana Kašćelan, Vladimir Kašćelan & Miomir Jovanović To cite this article: Ljiljana Kašćelan, Vladimir Kašćelan & Miomir Jovanović (2014) Analysis of investors’ preferences in the Montenegro stock market using data mining techniques, Economic Research-Ekonomska Istraživanja, 27:1, 463-482, DOI: 10....

Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive and fixed-time intervals in a sequence. Previous studies on serial episodes consider only frequent serial episodes in a sequence of events (called simple sequence). In real world, we may find a set of events at each t...

Pattern mining is an important data mining task. While the simplest setting, itemset mining, has been thoroughly studied real-world data is getting increasingly complex and network structured, e.g. in the context of social networks, economic networks, traffic networks, administrative networks, chemical interaction networks and biological regulatory networks. This presentation will first provide...

The complex phenomena of political science are typically studied using qualitative approach, potentially supported by hypothesisdriven statistical analysis of some numerical data. In this article, we present a complementary method based on data mining and specifically on the use of the self-organizing map. The idea in data mining is to explore the given data without predetermined hypotheses. As...

Issues about privacy-preserving data mining (PPDM) have emerged globally. The recent proliferation in PPDM techniques is evident. Motivated by the increasing number of successful techniques, the new generation in PPDM moves on toward standardization because it will certainly play an important role in the future of PPDM. In this paper, we lay out what needs to be done and take some steps toward ...

National governments can only tax the economic activity they either directly observe or that is reported by municipal authorities. mining, a very common phenomenon in Colombia, changed with a tax reform that reduced the share of revenue transferred back to mining municipalities. To overcome the challenge of measuring illegal activity, we construct a novel dataset using machine learning predicti...

The coal is the most important disposable energy in our country. Coal resources play a strategic role in our country's economic and social development, but there are a series of ecological environment problems about the mining and the utilization of coal resources. These problems in the coal mining area have already become an obstacle to the sustainable development and also a major hidden dange...

Bitcoin mining presents a significant economic incentive for efficient hashing and broadcast of data, both parameters stemming from the Proofs-of-Work used to advance the network. This incentive has led to the development of Bitcoin-specific application-specific integrated circuits (ASICs) and centralized mining pools, undermining the decentralized motivations behind Bitcoin’s design. In additi...