With the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly available nowadays. Mining valuable knowledge from is critically important to many real-world applications including human mobility understanding, smart transportation, urban planning, public safety, health care environ...

ÐWith the increase in the size of data sets, data mining has recently become an important research topic and is receiving substantial interest from both academia and industry. At the same time, interest in temporal databases has been increasing and a growing number of both prototype and implemented systems are using an enhanced temporal understanding to explain aspects of behavior associated wi...

Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approaches transform trajectories into sequences of location symbols and derive frequent subsequences by applying conventional sequential pattern mining algorithms. However, spatio-temporal correlations may be lost due to th...

Spatio-temporal patterns extracted from historical trajectories of moving objects unveil important knowledge about movement behavior for high quality LBS services. Existing approaches transform trajectories into sequences of regional symbols and discover frequent subsequences by applying conventional sequential pattern mining algorithms. However, spatio-temporal correlations in the original dat...

data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. it transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...

Utility itemsets are considered as the different values of individual items as utilities, and utility mining aims at identifying the itemsets with high utilities. The temporal high utility itemsets are the itemsets with support larger than a pre-specified threshold in current time window of data stream. Discovery of temporal high utility itemsets is an important process for mining interesting p...

In this paper we describe how to mine association rules in temporal document collections. We describe how to perform the various steps in the temporal text mining process, including data cleaning, text refinement, temporal association rule mining and rule post-processing. We also describe the Temporal Text Mining Testbench, which is a user-friendly and versatile tool for performing temporal tex...

Data mining is becoming an increasingly important tool to transform enormous data into useful information. Mining periodic patterns in temporal dataset plays an important role in data mining and knowledge discovery tasks. This paper presents, design and development of software for sequential pattern mining for asynchronous periodic patterns in temporal database. Comparative study of various alg...

Location–Based Services (LBS) are continuously gaining popularity. Innovative LBSes integrate knowledge about the users into the service. Such knowledge can be derived by analyzing the location data of users. Such data contain two unique dimensions, space and time, which need to be analyzed. The objectives of the thesis are three–fold. First, to extend popular data mining methods to the spatio–...