Top Research Papers on Data Mining

Central storage of comprehensive dam data with access for all engineers has helped an Austrian company improve safety and management, say Gerald Berger and Fritz Neuschitzer.

This chapter introduces the ideas used in gravitational-wave data analysis, starting from matched filtering and building up to Bayesian inference analysis, which demonstrates key concepts like the signal-to-noise ratio.

A Mineração de Dados (Data Mining) deve ser entendida como um conjunto de esforços empregados para a descoberta de padrões de acordo com bases de dados. Dessa maneira, há condições de gerar conhecimento útil para a tomada de decisões, através de algoritmos computacionais que recebem fatos do mundo real (entrada) e devolvem um padrão de comportamento (saída), expresso como modelagem de um perfil. Sendo assim, o objetivo deste artigo é definir a Mineração de Dados e os conceitos inerentes a ela, bem como elencar algumas ferramentas utilizadas para extração de conhecimento a partir dos dados. A m...

This study is a data mining application program for student graduation classification using the Nave Bayes method, which is expected to help educators complete their studies on time and develop their ability to increase accreditation in their research programs.

The graduate certificate’s narrow focus allows you to dig deep into this specific topic, and start applying your knowledge sooner, so you can more easily fit it into your busy life.

This study is a data mining application program for student graduation classification using the Nave Bayes method, which is expected to help educators complete their studies on time and develop their ability to increase accreditation in their research programs.

The graduate certificate’s narrow focus allows you to dig deep into this specific topic, and start applying your knowledge sooner, so you can more easily fit it into your busy life.

Some tasks, techniques and applications of data mining are discussed, the core part of the knowledge discovery in database (KDD) process.

This tutorial presents the concept of data mining and aims at providing an understanding of the overall process and tools involved: how the process turns out, what can be done with it, what are the main techniques behind it, and which are the operational aspects.

The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems and can answer business questions that traditionally were too time consuming to resolve.

Data Mining merupakan Penambangan data dari sekumpulan fakta yang terekam dandi ekstraksi menjadi pengetahuan, klasifikasi data mining diantaranya adalah denganAlgoritma C4.5, ID3, -Nearest Neighbor, Naïve Bayesian Clasification, CART(Clasification And Regression Tree), Pohon Keputusan merupakan cara bagaimanamengklasifikasi Algoritma terhadap data mining dalam hal ini denganpengklasifikasian yang tepat dapat menghasilkan Pohon Keputusan yang baik.

Group 14 used data‐mining strategies to evaluate a number of issues, including appropriate diagnosis, haplotype estimation, genetic linkage and association studies, and type I error, and found that these methods offered strategies to gain a better understanding of the complex pathways by which disease develops.

The graduate certificate’s narrow focus allows you to dig deep into this specific topic, and start applying your knowledge sooner, so you can more easily fit it into your busy life.

The graduate certificate’s narrow focus allows you to dig deep into this specific topic, and start applying your knowledge sooner, so you can more easily fit it into your busy life.

Recently data mining has become more popular in the information industry. It is due to the availability of huge amounts of data. Industry needs turning such data into useful information and knowledge. This information and knowledge can be used in many applications ranging from business management, production control, and market analysis, to engineering design and science exploration. Database and information technology have been evolving systematically from primitive file processing systems to sophisticated and powerful databases systems. The research and development in database systems has le...

The graduate certificate’s narrow focus allows you to dig deep into this specific topic, and start applying your knowledge sooner, so you can more easily fit it into your busy life.

The company says that the Modernization Workbench incorporates more powerful heuristics to identify hidden business rules automatically while new management capabilities streamline the documentation, organization and utilization of the discovered rules.

The data mining techniques, application areas of data mining, and the importance of association rules and various algorithms for generating association rules are studied.

Data mining is the process of finding patterns in information contained in large databases, a research area at the intersection of several disciplines, including statistics, databases, pattern recognition and AI, visualization, optimization, and high-performance and parallel computing.

This paper focuses on data mining, which has been popularly treated as a synonym of knowledge discovery in databases, although some researchers view data mining as an essential step ofknowledge discovery.