Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting sequential patterns whose specification needs a more expressive formalism, the first-order temporal logic. In this paper, we focus on the problem of mining multisequential patterns which are first-order temporal patterns (no...

health databases contain a wide scope of clinical data to explore relationships and patterns that can lead to new medical knowledge.today, the emergence of integrated information systems and growth of information technologies have better highlighted the importance of such databases. data mining is among the technological advances toward data management whose integration with traditional methods...

Spatio-temporal association rules mining is a key technology and a hot issue in the field of spatio-temporal data mining. The classical Apriori algorithm is usually utilized to detect the spatio-temporal association rules from the spatio-temporal transaction table, which is derived from the original spatio-temporal data. In most existing approaches to generate the spatio-temporal transaction ta...

With the ever-growing digital libraries and video databases, it is increasingly important to understand and mine the knowledge from video database automatically. Video association mining is a relatively new and emerging research trend used to discover and describe interesting patterns in video. The traditional classical association rule mining algorithms can not apply directly to the video. It ...

Periodic Pattern Mining, an interdisciplinary field of data mining is concerned with analyzing large volumes of time series or temporal data to discover patterns or trends or certain characteristics of data automatically. Temporal data captures the evolution of a data value over time. The existing Periodicity Mining Process is Text-Based which can be applied only to text data. The project propo...

This thesis develops a spatio-temporal data mining method for uncertain water reservoir data. The goal of the data mining method is to learn from a history human reservoir operations in order to derive an automated controller for a reservoir system. Spatio-temporal data mining is a challenging task due to the reasons: (1) spatio-temporal datasets are usually much larger than spatial data sets, ...

ISSN:0975-9646 Databases and data warehouses have become a vital part of many organizations. So useful information and helpful knowledge have to be mined from transactions. In real life, media information has time attributes either implicitly or explicitly called as temporal data. This paper focuses on an encoding method for the temporal database that reduces the memory utilization during proce...