Database systems methodologies and technology can provide a significant support to data mining processes. In this chapter we explore approaches which address the integration between data mining activities and DBMSs from different perspectives. More specifically, we focus on (i) specialized query languages which allow to define complex data mining tasks through the submission of query requests, and (ii) indices, i.e., physical data structures designed to improve the performance of mining algorithms
Abstract: The increasing of the database dimension creates many problems, especially when we need to...
Relational databases are acceptable repository for structured data; integrating data mining algorith...
Abstract. Data mining is rapidly nding its way into mainstream computing. The development of generic...
Database systems methodologies and technology can provide a significant support to data mining proce...
An important motivation for the development of inductive databases and query languages for data mini...
An important motivation for the development of inductive databases and query languages for data mini...
Abstract—The major aim of this survey is to identify the strengths and weaknesses of a representativ...
Summary. Many Data Mining algorithms enable to extract different types of patterns from data (e.g., ...
An important motivation for the development of inductive databases and query languages for data mini...
We propose a relational database model towards the integration of data mining into relational databa...
Abstract. We propose a relational database model towards the integration of data mining into relatio...
Applying machine learning and data mining to novel applications is cumbersome. This observation is t...
Applying machine learning and data mining to novel applications is cumbersome. This observation is t...
Applying machine learning and data mining to novel applications is cumbersome. This observation is ...
© Springer-Verlag Berlin Heidelberg 2000. A novel query language for database mining, called RDM, is...
Abstract: The increasing of the database dimension creates many problems, especially when we need to...
Relational databases are acceptable repository for structured data; integrating data mining algorith...
Abstract. Data mining is rapidly nding its way into mainstream computing. The development of generic...
Database systems methodologies and technology can provide a significant support to data mining proce...
An important motivation for the development of inductive databases and query languages for data mini...
An important motivation for the development of inductive databases and query languages for data mini...
Abstract—The major aim of this survey is to identify the strengths and weaknesses of a representativ...
Summary. Many Data Mining algorithms enable to extract different types of patterns from data (e.g., ...
An important motivation for the development of inductive databases and query languages for data mini...
We propose a relational database model towards the integration of data mining into relational databa...
Abstract. We propose a relational database model towards the integration of data mining into relatio...
Applying machine learning and data mining to novel applications is cumbersome. This observation is t...
Applying machine learning and data mining to novel applications is cumbersome. This observation is t...
Applying machine learning and data mining to novel applications is cumbersome. This observation is ...
© Springer-Verlag Berlin Heidelberg 2000. A novel query language for database mining, called RDM, is...
Abstract: The increasing of the database dimension creates many problems, especially when we need to...
Relational databases are acceptable repository for structured data; integrating data mining algorith...
Abstract. Data mining is rapidly nding its way into mainstream computing. The development of generic...