In this paper, we present the implementation of an integrated time-series data mining environment. Time-series data mining is one of key issues to get useful knowledge from data bases. To execute time-series data mining smoothly, we have designed an environment which integrates time-series pattern extraction methods, rule induction methods and rule evaluation methods with active human-system in...

We address an important deficiency in existing machine learning approaches for information extraction from natural language texts. Existing techniques for information extraction employ rules that exploit properties of consecutive word sequences. We argue that sequences of non-consecutive words capturing long range contextual correlations are vital features for information extraction from natura...

Our general approach to question answering is one that attempts to front-load much of the evaluation of corpus semantics, allowing for a more search engine-like user experience. By shifting natural language parsing forward in the process, we can amortize this very expensive step against a number of downstream extraction processes that mine the text for named entities, relationships, etc. Redefi...

This paper studies the problem of identification and extraction of flat and nested data records from a given web page. With the explosive growth of information sources available on the World Wide Web, it has become increasingly difficult to identify the relevant pieces of information, since web pages are often cluttered with irrelevant content like advertisements, navigation-panels, copyright n...

Nowadays, one of the main tasks of Ukrainian coal industry is increasing labour productivity by means of complex mechanization and automatization of mining operations with usage of modern equipment. The best example is implementation of modern plow complexes on Western Donbas mines, PJSC “DTEK Pavlogradvugillia”. Currently, plowing is one of perspective directions of coal extraction development...

Information extraction from HTML pages has been conventionally treated as plain text documents extended with HTML tags. However, the growing maturity and correct usage of HTML/XHTML formats open an opportunity to treat Web pages as trees, to mine the rich structural context in the trees and to learn accurate extraction rules. In this paper, we generalize the notion of delimiter developed for th...

Opinionated expression extraction is a central problem in fine-grained sentiment analysis. Most existing works focus on either generic subjective expression or aspect expression extraction. However, in opinion mining, it is often desirable to mine the aspect specific opinion expressions (or aspectsentiment phrases) containing both the aspect and the opinion. This paper proposes a hybrid generat...

in this study, effects of solid concentration, temperature, and initial fe2+ concentration on bioleaching of sulfide mineral (chalcopyrite) obtained from sarcheshmeh copper mine in the region of kerman located in the south of iran were investigated. a mesophilic iron oxidizing bacterium, acidithiobacillus ferrooxidans has been isolated from a typical chalcopyrite copper concentrate of the menti...

determination a sequence of extracting ore is one of the most important problems in mine annual production scheduling. production scheduling affects mining performance especially in a poly-metallic open pit mine with considering the imposed operational and physical constraints mandated by high levels of reliability in relation to the obtained actual results. one of the important operational con...

Detection and classification of underwater mines among natural formations and debris along the sea floor is a tedious task. In order to overcome such scenario an automated computer aided detection and classification system is required. Image processing techniques are used to improve the performance of mine hunting operations using sector-scan, side-scan, magnetometers, cameras, etc. This paper ...