The problem of frequent pattern discovery is defined as the process of searching for patterns such as sets of features or items that appear in data frequently. Finding such frequent patterns has become an important data mining task because it reveals associations, correlations, and many other interesting relationships hidden in a database. Most of the proposed frequent pattern mining algorithms...

The web is a large source of information that can be turned into knowledge. Part of this knowledge concerns the usage of the web itself and is invaluable to the organization of web sites that meet their purposes and prevent disorientation. Data mining is already being used to throw light in various aspects of web utilization. For one major aspect, the discovery of navigation patterns, we show t...

s with Geometry Displayable Visual Representations Domain Problem Space Analysis Rendering Pattern Discovery and Data Aggregation Image Construction Human ProblemSolving Theory Information Analysis Theory Techniques in Knowledge Discovery Discipline Human Visual Perception and Processing Theory Graphic System Theory Techniques in Scientific Visualization Discipline Graphics Construction Rules 3...

A significant data mining issue is the effective discovery of association rules. The extraction of association rules faces the problem of the combinatorial explosion of the search space, and the loss of information by the discretizat ion of values. The first problem is confronted effectively by the Frequent Pattern Tree approach of [10 ]. This approach avoids the candidate generation phase of A...

A significant data mining issue is the effective discovery of association rules. The extraction of association rules faces the problem of the combinatorial explosion of the search space, and the loss of information by the discretization of values. The first problem is confronted effectively by the Frequent Pattern Tree approach of [10]. This approach avoids the candidate generation phase of Apr...

metabolome analysis is used to evaluate the characteristics and interactions of low molecular weight metabolites under a specific set of conditions. in cirrhosis, hepatocellular carcinoma, non-alcoholic fatty liver disease (nafld) and non-alcoholic steatotic hepatitis (nash) the  liver  does not function thoroughly due to long-term damage. unfortunately the early detection of cirrhosis, hcc, na...

We consider the problem of intra-opus pattern discovery, that is, the task of discovering patterns of a specified type within a piece of music. A music analyst undertook this task for works by Domenico Scarlattti and Johann Sebastian Bach, forming a benchmark of ‘target’ patterns. The performance of two existing algorithms and one of our own creation, called SIACT, is evaluated by comparison wi...

The various types of frequent pattern discovery problem, namely, the frequent itemset, sequence and graph mining problems are solved in different ways which are, however, in certain aspects similar. The main approach of discovering such patterns can be classified into two main classes, namely, in the class of the levelwise methods and in that of the database projection-based methods. The level-...