Frequent patterns are patterns that appear in a data set frequently. This method searches for recurring relationship in a given data set. Several techniques have been proposed to improve the performance of frequent pattern mining algorithms. This paper presents revision of different frequent mining techniques including Apriori based algorithms, association rule based, Cp tree, and FP growth. A ...

The global cyberspace networks provide individuals with platforms to can interact, exchange ideas, share information, provide social support, conduct business, create artistic media, play games, engage in political discussions, and many more. The term cyberspace has become a conventional means to describe anything associated with the Internet and the diverse Internet culture. In fact, cyberspac...

Data mining is an interesting focus in computer science field now. This paper deals with data mining techniques based on Grey system theories for time sequence data. Firstly, thoughts of data mining with embedded knowledge are expatiated, and the status quo of Data mining techniques is presented briefly. Then, based on the above thoughts and the Grey system theories, data mining techniques base...

Text Mining has become an important research area, which refers to the application of machine learning (or data mining) techniques in the study of Information Retrieval and Natural Language Processing. In sense, it is defined as the way of discovering knowledge from ubiquitous text data which are easily accessible over the Internet or the Intranet. The survey of Text Mining techniques, Text Min...

T he Web—its resources and users—offers a wealth of information for data mining and knowledge discovery. Up to now, a great deal of work has been done applying data mining and machine learning methods to discover novel and useful knowledge on the Web. However, many techniques aim only at extracting knowledge for human

Data mining is the discovery of knowledge and useful information from the large amounts of data stored in databases. It is referred to as knowledge discovery from databases (KDD), is the automated or convenient extraction of patterns representing knowledge implicitly stored in large databases. Data mining tools predict future trends and behaviours, allowing businesses to make proactive, knowled...

Nowadays the World Wide Web has becoming one of the most comprehensive information resources. It probably, if not always, covers the information need for any user. Those differences make it challenging to fully use Web information in an effective and efficient manner. Web mining is the application of data mining techniques to extract knowledge from web data including web documents, hyperlinks, ...

Data mining aims at discovering novel, interesting and useful knowledge from databases. Conventionally, the data is analyzed manually. Many hidden and potentially useful relationships may not be recognized by the analyst. Nowadays, many organizations including modern hospitals are capable of generating and collecting a huge amount of data. This explosive growth of data requires an automated way...

Nowadays’ most of the software products are developed by using existing versions or features in order to reduce the delivery time of software product, to improve the productivity and quality and to reduce the development effort. Software reuse has been a solution factor to acquire the existing knowledge from software repository. To extract existing knowledge from software repository data mining...