[[abstract]]In order to determine how data mining techniques (DMT) and their applications have developed, during the past decade, this paper reviews data mining techniques and their applications and development, through a survey of literature and the classification of articles, from 2000 to 2011. Keyword indices and article abstracts were used to identify 216 articles concerning DMT applications, from 159 academic journals (retrieved from five online databases), this paper surveys and classifies DMT, with respect to the following three areas: knowledge types, analysis types, and architecture types, together with their applications in different research and practical domains. A discussion deals with the direction of any future developments i...
Data mining is described as a systematic process that is a step in the process of information discov...
Data Mining refers to the analysis of experimental data sets to seek out relationships and to summar...
Data Mining is a relatively young branch of Data Science, which has taken a special place with the d...
Data mining techniques are rapidly growing and used by many researchers in past few years. The main ...
Data mining is the analytics and knowledge discovery process of analyzing large volumes of data from...
Abstract--- In layman terms Data-mining can be related to human cognitive mind where based on previo...
The data mining method is becoming a trend on the computer science, medicine, economy, biology, admi...
Every second, huge amount of data is generated and accumulated. This data could possibly be used in ...
Abstract: Data Mining (DM) is considered as an interdisciplinary discipline: people try to solve lar...
Data mining is a technique for identifying patterns in large amounts of data and information. Databa...
Abstract- Data mining may be seen as the extraction of data and display from wanted information for ...
Data mining is the process of discovering new information from vast dataset in form of interesting p...
In this paper we have to focus on data mining concept and its tools and technology which help us for...
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art res...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
Data mining is described as a systematic process that is a step in the process of information discov...
Data Mining refers to the analysis of experimental data sets to seek out relationships and to summar...
Data Mining is a relatively young branch of Data Science, which has taken a special place with the d...
Data mining techniques are rapidly growing and used by many researchers in past few years. The main ...
Data mining is the analytics and knowledge discovery process of analyzing large volumes of data from...
Abstract--- In layman terms Data-mining can be related to human cognitive mind where based on previo...
The data mining method is becoming a trend on the computer science, medicine, economy, biology, admi...
Every second, huge amount of data is generated and accumulated. This data could possibly be used in ...
Abstract: Data Mining (DM) is considered as an interdisciplinary discipline: people try to solve lar...
Data mining is a technique for identifying patterns in large amounts of data and information. Databa...
Abstract- Data mining may be seen as the extraction of data and display from wanted information for ...
Data mining is the process of discovering new information from vast dataset in form of interesting p...
In this paper we have to focus on data mining concept and its tools and technology which help us for...
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art res...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
Data mining is described as a systematic process that is a step in the process of information discov...
Data Mining refers to the analysis of experimental data sets to seek out relationships and to summar...
Data Mining is a relatively young branch of Data Science, which has taken a special place with the d...