Add to ORKGThis master's thesis is focused on knowledge discovery from databases, especially on methods of mining sequential patterns. Individual methods of mining sequential patterns are described in detail. Further, this work deals with extending the platform Microsoft SQL Server Analysis Services of new mining algorithms. In the practical part of this thesis, plugins for mining sequential patterns are implemented into MS SQL Server. In the last part, these algorithms are compared on different data sets.
Abstract- Data Mining encompasses tools and technique for the “Extraction or Mining of knowledge fro...
Owing to important applications such as mining web page traversal sequences, many algorithms have be...
Sequential pattern mining is a practical problem whose objective is to discover helpful informative ...
One of the most important data mining problems is discovery of sequential patterns. Sequential patt...
Sequential pattern mining is a field of data mining with wide applications. Currently, there are a n...
Data collecting and analysis are commonly used techniques in many sectors of today's business and sc...
Abstract. Database integration of data mining has gained popularity and its significance is well rec...
[[abstract]]The task of sequential pattern mining is to discover the complete set of sequential patt...
The explosion of big data has affected the operation of every type of organization. Each organizatio...
The sequential pattern mining stems from the need to obtain patterns that are repeated in multiple t...
Use of Sequential Rule mining is becoming an important tool in m-learning domain to convert the data...
AND DUMITRU RĂDOIU Abstract. This paper presents a novel data mining technique, known as Post Sequen...
Mining sequential patterns from large customer transaction databases has been recognized as a key re...
Frequent Pattern mining is modified by Sequential Pattern Mining to consider time regularity which i...
Abstract- Sequential pattern mining is a very important mining technique with broad applications. It...
Abstract- Data Mining encompasses tools and technique for the “Extraction or Mining of knowledge fro...
Owing to important applications such as mining web page traversal sequences, many algorithms have be...
Sequential pattern mining is a practical problem whose objective is to discover helpful informative ...
One of the most important data mining problems is discovery of sequential patterns. Sequential patt...
Sequential pattern mining is a field of data mining with wide applications. Currently, there are a n...
Data collecting and analysis are commonly used techniques in many sectors of today's business and sc...
Abstract. Database integration of data mining has gained popularity and its significance is well rec...
[[abstract]]The task of sequential pattern mining is to discover the complete set of sequential patt...
The explosion of big data has affected the operation of every type of organization. Each organizatio...
The sequential pattern mining stems from the need to obtain patterns that are repeated in multiple t...
Use of Sequential Rule mining is becoming an important tool in m-learning domain to convert the data...
AND DUMITRU RĂDOIU Abstract. This paper presents a novel data mining technique, known as Post Sequen...
Mining sequential patterns from large customer transaction databases has been recognized as a key re...
Frequent Pattern mining is modified by Sequential Pattern Mining to consider time regularity which i...
Abstract- Sequential pattern mining is a very important mining technique with broad applications. It...
Abstract- Data Mining encompasses tools and technique for the “Extraction or Mining of knowledge fro...
Owing to important applications such as mining web page traversal sequences, many algorithms have be...
Sequential pattern mining is a practical problem whose objective is to discover helpful informative ...