In this paper, the Big Data challenges and the processing is analyzed, recently great
attention has been paid to the challenges for great data, largely due to the wide spread of …

The problem of anomaly and attack detection in IoT environment is one of the prime
challenges in the domain of internet of things that requires an immediate concern. For …

Distributed Denial of Service (DDoS) attacks in the cloud environment are not as simple as
the same attacks which occur in the traditional physical network environment. Not only one …

Discovery of temporal association patterns from temporal databases is extensively studied
by academic research community and applied in various industrial applications. Temporal …

Artificial intelligence can now provide more solutions for different problems, especially in the
medical field. One of those problems is the lack of answers to any given medical/health …

Finding temporal association patterns from temporal dataset is addressed in a wider
perspective in the existing literature. Discovering time profiled temporal patterns is …

This paper developed and investigates the performance of intelligent algorithms in order to
stabilize the robot when it is tracking to the reference signal. One type of robot is a Two …

Mining association patterns from a time-stamped temporal database distributed over finite
time slots is implicitly associated with task of scanning the input database. Finding supports …

Discovery of frequent itemsets from snapshot databases is most addressed widely in the
literature. The support value of itemsets for frequent itemset mining is a numeric value of one …

Classification is a supervised learning process which requires the decision labels available
for learning process. Decision classifier is a rule based approach for classification. This …