Add to ORKGData Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that contribute to several disciplines including Mathematics, Statistics, Pattern Recognition, Visualization, and Parallel Computing. This paper is projected to serve as an overview to the concepts of these rapidly evolving research and application areas. The basic concepts of these areas are outlined in this paper with some key ideas and motivate the importance of data mining concepts applied in Mathematical Techniques
Data Mining and Knowledge Discovery is intended to be the best technical publication in the field pr...
In this chapter, data mining and knowledge discovery (DMKD) is presented with basic concepts, a brie...
Abstract: The Knowledge Discovery in Databases and Data Mining field proposes the development of met...
This paper describes three different fundamental mathematical programming approaches that are releva...
In recent years, the exponentially growing amount of data made traditional data analysis methods imp...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the are...
Data mining is a multidisciplinary field, drawing work from areas including database technology, mac...
Data mining techniques are rapidly growing and used by many researchers in past few years. The main ...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
Data mining is a technology which helps different user in different field for extracting the useful ...
Data mining finds valuable information hidden in large volumes of data that need to be turned into u...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
This paper is intended to serve as an overview of a rapidly emerging research and applications area....
This paper is intended to serve as an overview of a rapidly emerging research and applications area....
Data Mining and Knowledge Discovery is intended to be the best technical publication in the field pr...
In this chapter, data mining and knowledge discovery (DMKD) is presented with basic concepts, a brie...
Abstract: The Knowledge Discovery in Databases and Data Mining field proposes the development of met...
This paper describes three different fundamental mathematical programming approaches that are releva...
In recent years, the exponentially growing amount of data made traditional data analysis methods imp...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the are...
Data mining is a multidisciplinary field, drawing work from areas including database technology, mac...
Data mining techniques are rapidly growing and used by many researchers in past few years. The main ...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
Data mining is a technology which helps different user in different field for extracting the useful ...
Data mining finds valuable information hidden in large volumes of data that need to be turned into u...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
This paper is intended to serve as an overview of a rapidly emerging research and applications area....
This paper is intended to serve as an overview of a rapidly emerging research and applications area....
Data Mining and Knowledge Discovery is intended to be the best technical publication in the field pr...
In this chapter, data mining and knowledge discovery (DMKD) is presented with basic concepts, a brie...
Abstract: The Knowledge Discovery in Databases and Data Mining field proposes the development of met...