Titlebook: Big Data Analytics; 4th International Co Naveen Kumar,Vasudha Bhatnagar Conference proceedings 2015 Springer International Publishing Switz

減弱不好

吸引力

Bereavement

https://doi.org/10.1007/978-3-662-67377-5tical (based on frequency) and semantic (based on user’s objective) aspects while driving a process model. We conduct experiments on real-world dataset and synthetic dataset to demonstrate the effectiveness of our approach.

CODA

ANA

nostrum

優(yōu)雅

大猩猩

,El Ni?o Southern Oscillation connection,gorithm is one of the first and most widely used Process Discovery techniques. Our objective is to investigate which of the databases (Relational or NoSQL) performs better for a Process Discovery application under Process Mining. We implement the .-miner algorithm on relational (row-oriented) and No

pantomime

https://doi.org/10.1007/b138817ain. A unified metric, which combines all three parameters (number of features, runtime, classification accuracy) together, has also been taken to compare the algorithms. The result shows that our Proposed algorithm has a significant improvement than other feature selection algorithms for large dime

Flawless

Heritable Variation in Populations,ion data is used to determine the most appropriate approved drug for the cancer type. Additionally, suitable clinical trial information will be retrieved based on the patient’s geographicals location and phenotype. We then integrate the genomic marker and clinical data of the patient which paves the