Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 13 of 13 for “"knowledge discovery in databases"”.
-
Data Mining with Newton's Method.
<p>Capable and well-organized data mining algorithms are essential and fundamental to helpful, useful, and successful knowledge discovery in databases. We discuss several data mining algorithms including genetic algorithms (GAs). In addition, we propose a modified multivariate Newton's method (NM) …
-
Knowledge discovery in biological databases : a neural network approach
Knowledge discovery, in databases, also known as data mining, is aimed to find significant information from a set of data. The knowledge to be mined from the dataset may refer to patterns, association rules, classification and clustering rules, and so forth. In this dissertation, we present a …
-
Teorias sociais implícitas nos índices e sistemas de indicadores: uma contribuição estatística ao estudo do desenvolvimento
… hoje podem ser acessados livremente através da Internet. Paralelamente, impulsionado pelo aumento da capacidade computacional de armazenamento e processamento de dados, o Knowledge Discovery in Databases – KDD tem se tornado um método amplamente discutido para extração de conhecimento das bases …
-
Marco de Descubrimiento de Conocimiento para Datos Estructuralmente Complejos con Énfasis en el Análisis de Eventos en Series Temporales
… en Bases de Datos (mas conocido por su nombre en ingles, Knowledge Discovery in Databases) es el proceso de extracción de conocimiento util, implícito y previamente desconocido a partir de grandes volúmenes de datos. Dicho proceso se compone de diferentes etapas entre las que cabe destacar la …
-
Wissensbasierte Modellierung von Audio-Signal-Klassifikatoren : zur Bioakustik von Tursiops truncatus. - 2., überarb. Aufl.
… (ASK) für die Bioakustik. Sie behandelt ein interdisziplinäres Problem, das viele Facetten umfasst. Zu diesen gehören artspezifische bioakustische Fragen, mathematisch-algorithmische Details und Probleme der Repräsentation von Expertenwissen. Es wird eine universelle praktisch anwendbare …
-
Modeling a Longitudinal Relational Research Data System
… to propose a research-based model for a longitudinal data research system that addressed recommendations from a synthesis of literature related to: (1) needs reported by the U.S. Department of Education, (2) the twelve mandatory elements that define federally approved state longitudinal data …
-
Efficient Similarity Search in Structured Data
… aspects: the use of complex data types with internal structure and the need for new data analysis methods. The focus of database users has shifted from simple queries to complex analyses of the data, known as knowledge discovery in databases. Important tasks in this area are the grouping of …
-
Coping With New Challengens for Density-Based Clustering
Knowledge Discovery in Databases (KDD) is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data. The core step of the KDD process is the application of a Data Mining algorithm in order to produce a particular enumeration of patterns …
-
New Approaches to Frequent and Incremental Frequent Pattern Mining
<p>Data Mining (DM) is a process for extracting interesting patterns from large volumes of data. It is one of the crucial steps in Knowledge Discovery in Databases (KDD). It involves various data mining methods that mainly fall into predictive and descriptive models. Descriptive models look for …
-
Structure-aware Deep Learning
Graph structures permeate the digital landscape in explicit and implicit forms. They connect or construct artifacts by combining semantic and structural information. We also observe them in the systems designed to process this data, in their learning algorithms and the very nature of the tasks they …
-
Un modelo de integración y preprocesamiento de información distribuida basado en ontologías
El incremento producido en la cantidad de datos disponibles en todas las áreas de la sociedad no ha implicado un aumento proporcional del conocimiento disponible. Para obtener este conocimiento es necesario avanzar en el proceso de descubrimiento de conocimiento en bases de datos (en inglés, KDD). …
-
Modul shlukové analýzy systému pro dolování z dat
… validace shluků, popisuje také Oracle Data Mining včetně algoritmů, které používá pro shlukování. Na závěr představuje vyvíjený systém a jím používané technologie, kterými jsou platforma NetBeans a jazyk DMSL. Druhá část popisuje návrh modulu shlukové analýzy a modulu pro porovnání jejích …