Add to ORKGWe present a novel application of WordNet to estimating the interestingness of rules discovered by data-mining methods. We estimate the novelty of text-mined rules using semantic distance measures based on WordNet. In our experiments, we found that the the automatic scoring of rules based on our novelty measure correlates with human judgments about as well as human judgments correlate with each other
Discovering association rules is one of the most important tasks in data mining. The classical model...
This paper presents an application of PageRank, a random-walk model originally devised for ranking W...
Abstract. The rate of growth of data in an information system is exponential every year, hence data ...
We present a novel application of WordNet to es-timating the interestingness of rules discovered by ...
In this paper, we present a new method of estimating the novelty of rules discovered by data-mining ...
Rule Discovery is an important technique for mining knowledge from large databases. Use of objective...
Rule Discovery is an important technique for mining knowledge from large databases. Use of objective...
This paper discusses several factors influencing the evaluation of the degree of interestingness of ...
As novelty is a core value in science, a reliable approach to measuring the novelty of scientific do...
WordNet is a lexical database that, among other things, arranges English nouns into a hierarchy rank...
As novelty is a core value in scientific advancement and technological progress, several bibliometri...
One of the central problems in knowledge discovery is the development of good measures of interestin...
Assessing rules with interestingness measures is the cornerstone of successful applications of assoc...
191 p.Intelligent novelty mining addresses the domain-specific problem of mining novel information f...
The goal of text mining is to find interesting and non-trivial patterns or knowledge from unstructur...
Discovering association rules is one of the most important tasks in data mining. The classical model...
This paper presents an application of PageRank, a random-walk model originally devised for ranking W...
Abstract. The rate of growth of data in an information system is exponential every year, hence data ...
We present a novel application of WordNet to es-timating the interestingness of rules discovered by ...
In this paper, we present a new method of estimating the novelty of rules discovered by data-mining ...
Rule Discovery is an important technique for mining knowledge from large databases. Use of objective...
Rule Discovery is an important technique for mining knowledge from large databases. Use of objective...
This paper discusses several factors influencing the evaluation of the degree of interestingness of ...
As novelty is a core value in science, a reliable approach to measuring the novelty of scientific do...
WordNet is a lexical database that, among other things, arranges English nouns into a hierarchy rank...
As novelty is a core value in scientific advancement and technological progress, several bibliometri...
One of the central problems in knowledge discovery is the development of good measures of interestin...
Assessing rules with interestingness measures is the cornerstone of successful applications of assoc...
191 p.Intelligent novelty mining addresses the domain-specific problem of mining novel information f...
The goal of text mining is to find interesting and non-trivial patterns or knowledge from unstructur...
Discovering association rules is one of the most important tasks in data mining. The classical model...
This paper presents an application of PageRank, a random-walk model originally devised for ranking W...
Abstract. The rate of growth of data in an information system is exponential every year, hence data ...