We present a data exploration system equipped with smart drill-down, a novel operator for interactively exploring a relational table to discover and summarize “interesting ” groups of tuples. Each such group of tuples is represented by a rule. For instance, the rule (a, b,?, 1000) tells us that there are a thousand tuples with value a in the first column and b in the second column (and any value in the third column). Smart drill-down presents an analyst with a list of rules that together describe interesting aspects of the table. The analyst can tailor the definition of interesting, and can interactively apply smart drill-down on an existing rule to explore that part of the table. In the demonstration, conference attendees will be able to u...
Recently data mining has become more popular in the information industry. It is due to the availabil...
In many fields, the rapid growth of the amount of available data has created the need for automated ...
Knowledge discovery in databases, or data mining, is the process of finding interesting patterns in ...
We present smart drill-down, an operator for interactively exploring a relational table to discover ...
Large collections of data, e.g. archives of POS (point-of-sale) in the consumer packaged goods as we...
We propose INDIANA, a system conceived to support a novel paradigm of database exploration. INDIANA ...
Data analysts often engage in data exploration tasks to discover in-teresting data patterns, without...
Data mining is known to some as "knowledge discovery from large databases". It is the technology of...
Learning semantically useful association rules across all attributes of a relational table requires:...
Data is typically complex and relational. Therefore, the development of relational data mining metho...
This paper discusses a novel data mining system devised and developed at Birmingham, which attempts ...
We introduce the problem of mining robust rules, which are expressive multi-dimensional generalized ...
textabstractData exploration has received much attention during the last few years. The aim is to le...
Our goal is to enhance multidimensional database systems with advanced mining primitives. Current On...
Data exploration has received much attention during the last few years. The aim is to learn interest...
Recently data mining has become more popular in the information industry. It is due to the availabil...
In many fields, the rapid growth of the amount of available data has created the need for automated ...
Knowledge discovery in databases, or data mining, is the process of finding interesting patterns in ...
We present smart drill-down, an operator for interactively exploring a relational table to discover ...
Large collections of data, e.g. archives of POS (point-of-sale) in the consumer packaged goods as we...
We propose INDIANA, a system conceived to support a novel paradigm of database exploration. INDIANA ...
Data analysts often engage in data exploration tasks to discover in-teresting data patterns, without...
Data mining is known to some as "knowledge discovery from large databases". It is the technology of...
Learning semantically useful association rules across all attributes of a relational table requires:...
Data is typically complex and relational. Therefore, the development of relational data mining metho...
This paper discusses a novel data mining system devised and developed at Birmingham, which attempts ...
We introduce the problem of mining robust rules, which are expressive multi-dimensional generalized ...
textabstractData exploration has received much attention during the last few years. The aim is to le...
Our goal is to enhance multidimensional database systems with advanced mining primitives. Current On...
Data exploration has received much attention during the last few years. The aim is to learn interest...
Recently data mining has become more popular in the information industry. It is due to the availabil...
In many fields, the rapid growth of the amount of available data has created the need for automated ...
Knowledge discovery in databases, or data mining, is the process of finding interesting patterns in ...