نتایج جستجو برای: pattern discovery problem
تعداد نتایج: 1318153 فیلتر نتایج به سال:
We address the unexplored problem of percussion pattern discovery in Indian art music. Percussion in Indian art music uses onomatopoeic oralmnemonic syllables for the transmission of repertoire and technique. This is utilized for the task of percussion pattern discovery from audio recordings. From a parallel corpus of audio and expert curated scores for 38 tabla solo recordings, we use the scor...
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operations on data using a query language, powerful enough to perform all the required elaborations, such as data preprocessing, pattern discovery and pattern postprocessing. We present a synthetic view on important concept...
the purpose of this study was the relationship between problem – solvi ability with fdi cognitive style of students.the research method was correlation method. for data analysis pearson test was used. statistical society in this research was all the students of alligoodarz city in 1391-92 year.to sampling of statiscal population was used sampling multi-stage random the size of sample selected 2...
In this paper we discuss the problem of discovering interesting word sequences in the light of two traditions: sequential pattern mining (from data mining) and collocations discovery (from computational linguistics). Smadja (1993) defines a collocation as “a recurrent combination of words that cooccur more often than chance and that correspond to arbitrary word usages.” The notion of arbitrarin...
Nowadays, fundraising is one of the most important issues for both Fintech investors and startups. The pattern of fundraising in terms of “number and type of rounds and stages needed” are important. The diverse features and factors that could stem from Fintech business models which can influence success are of the key issues in shaping these patterns. This study applied the top 100 KPMG Fintech...
Multi-relational data mining has become popular due to the limitations of propositional problem definition in structured domains and the tendency of storing data in relational databases. Several relational knowledge discovery systems have been developed employing various search strategies, heuristics, language pattern limitations and hypothesis evaluation criteria, in order to cope with intract...
• A review of country-level environmental policy indicators and proxies. Analysis the impediments to constructing transforming for researchers, policy-makers, investors. Novel bridging machine-enhanced methods with policy. New research avenues are opened up drive more effective feedback. Quantitative useful modeling impact on economy. They can be important tools companies, investors, researcher...
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