Clinical Decision Support Systems Using Sequential Pattern Mining Algorithms for Cardio Vascular Diseases

Efficient Sequential Pattern Mining Algorithms

Sequential pattern mining is a heavily researched area in the field of data mining with wide variety of applications. The task of discovering frequent sequences is challenging, because the algorithm needs to process a combinatorially explosive number of possible sequences. Most of the methods dealing with the sequential pattern mining problem are based on the approach of the traditional task of...

Data Mining and Clinical Decision Support Systems

Data mining is a process of pattern and relationship discovery within large sets of data. The context encompasses several fields, including pattern recognition, statistics, computer science, and database management. Thus the definition of data mining largely depends on the point of view of the writer giving the definitions. For example, from the perspective of pattern recognition, data mining i...

Data mining and soft computing algorithms for decision support systems

Clinical Decision Support System Using OLAP Mining

The healthcare industry collects huge amounts of data which, unfortunately, are not turned into useful information for effective decision making. Clinical Decision support systems (CDSS) can now use advanced technologies such as On-Line Analytical Processing (OLAP) and Data Mining to deliver advanced capabilities. This paper presents a prototype CDSS using OLAP with Data Mining (OLAP Mining) wh...

Graph Pattern Mining for Business Decision Support

To which extent can graph pattern mining enrich business intelligence? This question was the seed whose sprout became my PhD research. To find an answer, I investigated graph-based data integration, the calculation of business measures from graphs and suitable data mining techniques based thereon. The latter should identify correlations between occurrences of specific graph patterns and values ...