Traditional data mining techniques mainly deal with a search for patterns in traditional databases, where data consists of numbers and words. In many application areas, however, data is more complicated: real-life data is often obtained as an image from a camera rather than a few measurements. Furthermore, this image can also change dynamically. In this paper, we present several examples of how soft computing is related to mining such data
Efficient tools and algorithms for knowledge discovery in large data sets have been devised during t...
Soft computing methods such as fuzzy control, neural networks, etc., often require lots of com-putat...
The papers collected in this book are concerned with the application of the so-called "soft-computin...
. Traditional data mining techniques mainly deal with a search for patterns in traditional databases...
<p>Data Mining is one of the fundamental steps in KDD process and is concerned with the algorithmic ...
Soft Computing is the study of science of reasoning, thinking, analyzing and detecting that correlat...
The present article provides a survey of the available literature on data mining using soft computin...
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to ...
Soft computing (SC) is a field of computer science that resembles the processes of the human brain. ...
Data Mining discovers patterns and trends by extracting knowledge from large databases. Soft Computi...
AbstractSoft computing, as opposed to traditional computing, deals with approximate models and gives...
The book provides a sample of research on the innovative theory and applications of so...
107-121 Although modern technologies enable storage of large streams of data, but there is no t...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
Images have always been very important in human life. Their applications range from primitive commun...
Efficient tools and algorithms for knowledge discovery in large data sets have been devised during t...
Soft computing methods such as fuzzy control, neural networks, etc., often require lots of com-putat...
The papers collected in this book are concerned with the application of the so-called "soft-computin...
. Traditional data mining techniques mainly deal with a search for patterns in traditional databases...
<p>Data Mining is one of the fundamental steps in KDD process and is concerned with the algorithmic ...
Soft Computing is the study of science of reasoning, thinking, analyzing and detecting that correlat...
The present article provides a survey of the available literature on data mining using soft computin...
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to ...
Soft computing (SC) is a field of computer science that resembles the processes of the human brain. ...
Data Mining discovers patterns and trends by extracting knowledge from large databases. Soft Computi...
AbstractSoft computing, as opposed to traditional computing, deals with approximate models and gives...
The book provides a sample of research on the innovative theory and applications of so...
107-121 Although modern technologies enable storage of large streams of data, but there is no t...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
Images have always been very important in human life. Their applications range from primitive commun...
Efficient tools and algorithms for knowledge discovery in large data sets have been devised during t...
Soft computing methods such as fuzzy control, neural networks, etc., often require lots of com-putat...
The papers collected in this book are concerned with the application of the so-called "soft-computin...