The present paper proposes a new model for the exploration of hesitated patterns from
multiple levels of conceptual hierarchy in the transactional dataset. The usual practice of …

On two important counts, the Zadehian theory of fuzzy sets urgently needs to be restructured.
First, it can be established that for a normal fuzzy number N=[α, β, γ] with membership …

It has been accepted that the fuzzy sets do not form a field. In this article, we are going to put
forward an extension of the definition of fuzziness. With the help of this extension, we would …

Temporal data contain time-stamping information that affects the results of data mining.
Traditional techniques for finding frequent itemsets assume that datasets are static and the …

Anomaly detection in real-time data is accepted as a vital area of research. Clustering
techniques have effectively been applied for the detection of anomalies several times. As the …

Finding real-time anomalies in any network system is recognized as one of the most
challenging studies in the field of information security. It has so many applications, such as …

Since the beginning, for the last forty five years, it has been accepted that fuzziness and
randomness are independent concepts. Workers in fuzzy mathematics have been trying to …

In this article, an alternative method to evaluate the arithmetic operations on fuzzy number
has been developed, on the assumption that the Dubois-Prade left and right reference …

Huge volume of events is logged by monitoring systems. Analysts do not audit or trace the
log files, which record the most significant events, until an incident occurs. Human analysis …

A large class of problems deals with temporal data. Identifying temporal patterns in these
datasets is a natural as well as an important task. In the recent time, researchers have …