In this paper we present a new data mining algorithm which can give us the relationship among attributes within data set concisely and precisely. The relationships found from this algorithm shown in the rule form are consistent by not depending on the total number of record within the data set or the different proportion of all of the possible cases within the data set. This algorithm is neithe...

Dengue is a eviscerate disease common in tropical countries. It is also known as break-bone fever. Dataset for dengue gives information about the patient suffering with the dengue disease. The Dataset consist of attribute like fever, bleeding, metallic taste, Fatigue. The main objective of this study is to calculate the performance of various classification Techniques and compare their performa...

The challenge of navigating an autonomous vehicle over large distances was illustrated in 2005 at the DARPA Grand Challenge when 4 out of 23 Teams successfully completed a 132 mile course within a 10 hour time limit. What the Grand Challenge revealed is that one of the most critical components of a successful autonomous vehicle was the reliability of accurate pose (positioning and orientation e...

Log-structured merge tree decomposes a large database into multiple parts: an in-writing part and several read-only ones. It achieves high write throughput as well as low read latency. However, read requests have to go through multiple structures to find the required data. In a distributed database system, different parts of the LSM-tree are stored distributedly. Data access issues extra networ...

When two threads access the shared memory without being synchronized, and at least one performs a write operation, they form a data race. Data races are widely considered the symptom of bugs in multithreaded programs, and a huge amount of work has been done in order to detect them. The key issue in order to statically discover data races via abstract interpretation in Java programs is to develo...

When releasing data to the public, data stewards are ethically and often legally obligated to protect the confidentiality of data subjects' identities and sensitive attributes. They also strive to release data that are informative for a wide range of secondary analyses. Achieving both objectives is particularly challenging when data stewards seek to release highly resolved geographical informat...