Grant: Discovery Grants Program - Individual
University of Regina
$28,000.00
Privacy-Preserving and Action-Event Sequence Data Mining and Advanced Data Structures for Efficient Heuristic Search
FY 2019-20
Summary
Recent advances in machine learning and data mining techniques present the opportunity of applying such techniques to governmental and institutional databases. One current challenge is to learn about the general behavior of individuals so that appropriate actions can be taken for specific individuals by governments and institutions while protecting the privacy of all. One purpose of this research project is to address this challenge for data collected as sequences of events concerning individuals or entities. For Project 1, I will devise and evaluate methods for anonymization for privacy preserving data mining.******Secondly, I will devise and evaluate techniques to find high-utility actions to choose for particular event sequences based on the known utilities of diverse anonymized sequences. For Project 2, I will continue research on a promising thrust towards devising new data structures for efficient heuristic search.
Program
Discovery Grants Program - Individual
Recipient
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2019-07301
Name nom
Hamilton, Howard
Department département
Computer Science
Organization id
17
Institution établissement
University of Regina
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2019
Award amount
28000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
Research subject code
2711
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Database management
Research subject fr
Gestion de bases de données
Installment
inst:1 - 5
Partie
1
Nb partie
5
Application title
Privacy-Preserving and Action-Event Sequence Data Mining and Advanced Data Structures for Efficient Heuristic Search
Keyword
NSERC
Application summary
Recent advances in machine learning and data mining techniques present the opportunity of applying such techniques to governmental and institutional databases. One current challenge is to learn about the general behavior of individuals so that appropriate actions can be taken for specific individuals by governments and institutions while protecting the privacy of all. One purpose of this research project is to address this challenge for data collected as sequences of events concerning individuals or entities. For Project 1, I will devise and evaluate methods for anonymization for privacy preserving data mining.******Secondly, I will devise and evaluate techniques to find high-utility actions to choose for particular event sequences based on the known utilities of diverse anonymized sequences. For Project 2, I will continue research on a promising thrust towards devising new data structures for efficient heuristic search.