DESIGN OF COMPUTATIONAL COMPLEXITY AND ALGORITHMS FOR DIRTY DATA EVALUATION AND...
ABSTRACT
In this dissertation, we study the dirty data evaluation and repairing problem in relational database. Dirty data is usually inconsistent, inaccurate, incomplete and stale....
DESIGN OF PRIVACY-PRESERVED LINKABLE SOCIAL-PHYSICAL DATA PUBLICATION
ABSTRACT
In this dissertation, we investigate the privacy-preserved data publication problems towards pervasively existing linkable social-physical contents. On the one hand, data publication has been considered as...
DESIGNING METHODS FOR VIRAL POPULATION ANALYSIS
ABSTRACT
The ability of Next-Generation Sequencing (NGS) to produce massive quantities of genomic data inexpensively has allowed to study the structure of viral populations from...
DESIGNING DISCOVERY FOR SPATIOTEMPORAL EVENT SEQUENCES
ABSTRACT
Finding frequent patterns plays a vital role in many analytics tasks such as finding itemsets, associations, correlations, and sequences. In recent decades, spatiotemporal frequent pattern mining...
DESIGNING A FRAMEWORK FOR STRATEGY-BASED MULTI-AGENT MULTI-TEAM SYSTEMS
ABSTRACT
Multi-agent multi-team systems are commonly seen in environments where hierarchical layers of goals are at play. For example, theater-wide combat scenarios where multiple levels of command...
IMPLEMENTATION OF NGS DATA FROM IMMUNE RESPONSE AND VIRAL SAMPLES
ABSTRACT
This thesis is devoted to designing and applying advanced algorithmical and statistical tools for analysis of NGS data related to cancer and infection diseases. NGS data under investigation...
IMPLEMENTATION OF INFLUENCE ANALYSIS TOWARDS BIG SOCIAL DATA
ABSTRACT
Large scale social data from online social networks, instant messaging applications, and wearable devices have seen an exponential growth in a number of users and activities recently. The rapid proliferation...
DESIGNING PATTERNS FOR HANDLING INCONSISTENCY IN KNOWLEDGE BASES
ABSTRACT
Real-world automated reasoning systems, based on classical logic, face logically inconsistent information, and they must cope with it. It is onerous to develop such...
IMPLEMENTATION OF DATA-DRIVEN SIMULATION MODELING FOR MOBILE AGENT-BASED SYSTEMS
ABSTRACT
Simulation modeling provides insight into how dynamic systems work. Current simulation modeling approaches are primarily knowledge-driven, which involves a process of converting expert knowledge into models and...
DESIGN AND IMPLEMENTATION OF FULL-VIEW COVERAGE PROBLEMS IN CAMERA SENSOR NETWORKS
ABSTRACT
Camera Sensor Networks (CSNs) have emerged as an information-rich sensing modality with many potential applications and have received much research attention over the past few years. One...
DESIGN OF A MULTI-LABEL TEXT CLASSIFICATION FRAMEWORK: USING SUPERVISED AND UNSUPERVISED...
ABSTRACT
Text classification, the task of metadata to documents, needs a person to take significant time and effort. Since online-generated contents are explosively growing, it becomes a...
DESIGNING OF AN AUTOMATED SYSTEM FOR THE ASSESSMENT AND RANKING OF...
ABSTRACT
As the number of intelligent software applications and the number of semantic websites continue to expand, ontologies are needed to formalize shared terms. Often it is...
IMPLEMENTATION OF MACHINE LEARNING METHODS FOR FINDING TEXTUAL FEATURES OF DEPRESSION...
ABSTRACT
Depression is a common but serious mood disorder. In 2015, WHO reports about 322 million people were living with some form of depression, which is the...
DESIGN OF SEQUENTIAL MONTE CARLO BASED DATA ASSIMILATION FRAMEWORK AND TOOLKIT...
ABSTRACT
Assimilating real-time sensor data into simulations is an effective approach for improving predictive abilities. However, integrating complex simulation models, e.g., discrete event simulation models and agent-based simulation models, is a...
DESIGN AND IMPLEMENTATION OF NEW DATA ANALYTICS AND VISUALIZATION METHODS IN...
ABSTRACT
In this dissertation, we discuss a reading profiling system, a biological data visualization system and a sports visualization system. Self-tracking is getting increasingly popular in the field...