Knowledge discovery
Evaluation of gene association methods for coexpression network construction and biological knowledge discovery.
... For knowledge discovery, the Spearman method performed slightly better than the Kendall method and the latter did not identify any genes in RCC, but Spearman ...
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KNOWLEDGE DISCOVERY FROM TRAJECTORIES
... a) The complexity of spatio-temporal patterns is brought by the special features of spatial and temporal variables. For spatial attributes, such as coordinate pairs or a cell in grids,[r] ...
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EUROPEAN CONFERNCE ON MACHINE LEARNING AND PRINCIPLES AND PRACTICES OF KNOWLEDGE DISCOVERY IN DATABASES
... Abstract. Computational approaches can be applied to solve differ- ent biology challenges. Tools based on traditional computation meth- ods have shown, however, to be limited to approach complex biological problems in ...
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The Descriptive Study of Knowledge Discovery from Web Usage Mining
... mined knowledge. Clearly, these tools need to have specific knowledge about the particular problem domain to do any more than filtering based on statistical attributes of the discovered rules or ...
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Fuzzy-rough set and fuzzy ID3 decision approaches to knowledge discovery in datasets
... The main difference between ID3 and fuzzy ID3 (FID3) is that FID3 is able to handle continuous attributes through the use of fuzzy sets. Fuzzy sets and logic allow language related uncertainties to be modeled and provide ...
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Mineração de Séries Temporais
... LAVRAC, N.; FLACH, P.; ZUPAN, B. Rule evaluation measures: a unifying view. In Proc. of the Ninth International Workshop on Inductive Logic Programming, volume 1634, pages 74 –185. LIN J.; KEOGH E.; LONARDI S. CHIU B. ...
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Mineração de dados em grande conjuntos de dados complexos
... work aims at the development of knowledge discovery techniques well-suited to analyze large collections of complex objects described exclusively by their feature vectors, especially for [r] ...
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Data Mining & It’s Algorithms
... or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or ...
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JISTEM J.Inf.Syst. Technol. Manag. vol.11 número2
... The knowledge discovery process and the use of models based on data mining developed here may provide the cooperative with practical advantages. Understanding the variables and their relationships may help ...
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DISTRIBUTED DATA MINING AND AGENT MINING INTERACTION AND INTEGRATION: A NOVEL APPROACHE
... Autonomous agent and multi-agent systems (AAMAS, refer to here as agents) [44] and knowledge discovery from data (KDD, or otherwise known as data mining)[10] have emerged and developed separately in the ...
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Dynamic & Attribute Weighted KNN for Document Classification Using Bootstrap Sampling
... as Knowledge-Discovery in Text (KDT), Text Data Mining or Intelligent Text Analysis is the process of extracting interesting and valuable information and knowledge from unstructured ...value. ...
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Mining Big Data to Predicting Future
... (Knowledge Discovery Database) BigMine'12 Workshop presented amazing data numbers about internet usage that is: each day Google has more than 1 billion queries per day, Twitter has more than 250 million ...
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Semiodiscursive analysis of TV newscasts based on data mining and image processing
... Knowledge discovery is the process of characterizing, mining and processing data, aiming to extract relevant patterns in large data sets (Tan, Steinbach, & Kumar, ...a knowledge discovery ...
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Data analytics para variedade de dados
... Nas seguintes tabelas são ilustradas um conjunto de técnicas de análise de dados retirados das conferências: Conference of Knowledge Discovery and Data Mining dos anos 2014, 2015 e 2016[r] ...
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Proposta de metodologia para a criação de etiqueta de classificação – estudo de caso: desempenho escolar.
... Abstract: Quality in Education is an issue that has been discussed in schools and among their managers, in the media, and in the literature. However, a deeper review of the literature has failed to present techniques ...
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Mineração de textos na resolução de ambiguidades lexicais da língua portuguesa
... In the last years, the amount of texts circulating the internet has growth dramatically, reaching the order of petabytes. The social media, news portals and even the literature contribute strongly for this increase. In ...
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Knowledge Acquisition and Knowledge Management through E-Learning
... Expert-driven Knowledge Acquisition experts and/or the knowledge engineer’s roles are minimized (or ...preliminary knowledge discovery and acquisition, Increase the productivity of ...
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Review of Domain Driven Data Mining
... actionable knowledge delivery to drive Knowledge Discovery from Data ...actionable knowledge discovery and delivery by incorporating relevantly ubiquitous intelligence surrounding ...
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The Knowledge Cube and Knowledge Conversions
... mention knowledge conversions in the quality dimension of ...overview knowledge into a deeper form of this ...step-by-step-applicable knowledge may convert into automated knowledge in a ...
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Collaborative methods for business process discovery
... BPD phase aims at developing an organizational profile of people, activities, technology, and in- formation in order to understand business processes. This phase includes two main sub-phases: (1) Learning (Eliciting) ...
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