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[PDF] Top 20 Data mining of chess chunks: a novel distance-based structure

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Data mining of chess chunks: a novel distance-based structure

Data mining of chess chunks: a novel distance-based structure

... This representation seems to account for numerous characteristics of human player's psychology, such as: (i) the movement of eye saccades between related pieces, (ii) the carefull[r] ... See full document

10

Semiodiscursive analysis of TV newscasts based on data mining and image processing

Semiodiscursive analysis of TV newscasts based on data mining and image processing

... development of a novel computer-aided methodology for discourse analysis of TV ...type of discourse and has become a central part of the modern-day lives of millions of ... See full document

9

Study on the Customer targeting using Association Rule Mining

Study on the Customer targeting using Association Rule Mining

... quantities of data. Data mining techniques can be implemented rapidly on existing software and hardware platforms to improve the value of existing information resources, and can be ... See full document

3

Agile Data Mining: uma metodologia ágil para o desenvolvimento de projetos de data mining

Agile Data Mining: uma metodologia ágil para o desenvolvimento de projetos de data mining

... de data mining enfrenta problemas para determinar que metodologia ou processo deve utilizar para desenvolver o projeto (Ghani e Soares, ...de data mining estas suas ... See full document

109

Spatio-temporal data mining in palaeogeographic data with a density-based clustering algorithm

Spatio-temporal data mining in palaeogeographic data with a density-based clustering algorithm

... sample of a given large data set may lead to biased ...datasets of hundreds of thousand objects, although the execution on bigger datasets, with more than a million instances, presented ... See full document

103

Mining SNPs in extracellular vesicular transcriptome of Trypanosoma cruzi: a step closer to early diagnosis of neglected Chagas disease

Mining SNPs in extracellular vesicular transcriptome of Trypanosoma cruzi: a step closer to early diagnosis of neglected Chagas disease

... One of the newest and strongest members of intercellular communicators, the Extracellular vesicles (EVs) and their enclosed RNAs; Extracellular RNAs (exRNAs) have been acknowledged as putative biomarkers ... See full document

16

Geographic Spatiotemporal Dynamic Model using Cellular Automata and Data Mining Techniques

Geographic Spatiotemporal Dynamic Model using Cellular Automata and Data Mining Techniques

... applying data mining techniques. Three data mining techniques were applied, namely finding sequential patterns in the data, clustering analysis of the pattern, and classification ... See full document

9

Orientador: Ricardo Luís Rosa Jardim Gonçalves Professor Auxiliar, Departamento de Engenharia Electrotécnica Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa Co-orientador: João Filipe dos Santos Sarraipa, Investigador, UNINOVA

Orientador: Ricardo Luís Rosa Jardim Gonçalves Professor Auxiliar, Departamento de Engenharia Electrotécnica Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa Co-orientador: João Filipe dos Santos Sarraipa, Investigador, UNINOVA

... values of these numbers are usually not critical unless very responsive performance is required in which case empirical tuning would determine ...range of input ...sensor data that provides some ... See full document

109

Nitrogen assimilation in Citrus based on CitEST data mining

Nitrogen assimilation in Citrus based on CitEST data mining

... storage of nitrogen, in addition to being an essential compound of many proteins required for normal plant development (Sieciechowicz et ...number of AS genes, depending on the species in question. ... See full document

9

A Recent Review on XML data mining and FFP

A Recent Review on XML data mining and FFP

... Data Mining is referred to as Knowledge Discovery in ...design of appropriate functions and algorithms to find patterns. However data on the web and bioinformatics databases often lack such a ... See full document

6

Modified Weighted PageRank Algorithm using Time Spent on Links

Modified Weighted PageRank Algorithm using Time Spent on Links

... Visit Of Links calculates the rank of web page by using the popularity of ...number of hits or visits cannot explain the information about the browser’s interest because it does not count for ... See full document

8

Mineração de Séries Temporais

Mineração de Séries Temporais

... KEOGH E.; KASETTY S. On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration. In Data Min. Knowl. Discov, volume 7, pages 349 – 371, 2003. KEOGH E. A Decade ... See full document

49

J. Microw. Optoelectron. Electromagn. Appl.  vol.10 número2

J. Microw. Optoelectron. Electromagn. Appl. vol.10 número2

... array of DGS [4]. In order to investigate the frequency characteristics of the etched slot, we simulated the DGS unit section using Microwave ...placement of the DGS under the microstrip line ... See full document

13

MINERAÇÃO DE OPINIÕES DE USUÁRIOS NA BUSCA DE CONHECIMENTO

MINERAÇÃO DE OPINIÕES DE USUÁRIOS NA BUSCA DE CONHECIMENTO

... b) Mineração de logs: Entende-se por mineração de logs ou em inglês web usage mining, o estudo do comportamento dos usuários com relação ao acesso de um determinado site. O servidor que armazena o site em questão ... See full document

16

Cross-SAGE: SAGE Data Mining Tool Based on Set Theory

Cross-SAGE: SAGE Data Mining Tool Based on Set Theory

... count of each tag in various groups, and helps biologists understand which tag is ...count of GCCCAGGCTA and ACATTGGGTG was correspondingly low in primary tumor_colon and tumor_stomach, as shown in ...part ... See full document

6

Review of Domain Driven Data Mining

Review of Domain Driven Data Mining

... Human involvement is embodied through the collaboration among humans (including users and business analysts, essentially domain experts) and data mining systems. This is accomplished through the ... See full document

5

Review Study of Mining Big Data

Review Study of Mining Big Data

... Big data is time period for collecting extensive and complex data set which including both structured and non- structured ...information. Data can come from everywhere. sensors for collecting ... See full document

3

A P2P Botnet Virus Detection System Based on Data-Mining Algorithms

A P2P Botnet Virus Detection System Based on Data-Mining Algorithms

... variety of P2P botnets, but it can only be applied in the stage when the botnet is launching ...goal of detecting botnet viruses, but there are some more computers infected by the time when the viruses are ... See full document

15

A Microcontroller Based Car-Safety System Implementing Drowsiness Detection And Vehicle-Vehicle Distance Detection In Parallel.

A Microcontroller Based Car-Safety System Implementing Drowsiness Detection And Vehicle-Vehicle Distance Detection In Parallel.

... diameter of 12mm to large Peizo electric ...the Distance Detector that will alert the driver if the vehicle is closer than the permissible distance from another ... See full document

3

Frame work for association rule mining with updated fp-growth and modified cofi approaches

Frame work for association rule mining with updated fp-growth and modified cofi approaches

... itemset mining known as Frequent-Pattern Growth (FP-Growth) [5], does not require to generate candidate ...resident data structure, FP-Tree, to limit the number of database scans to ...set ... See full document

11

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