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Publications in VIVO
 

Lv, Qin (Christine) Associate Professor

Positions

Research Areas research areas

Research

research overview

  • Qin Lv's research integrates systems, algorithms, and applications for effective and efficient data analytics in ubiquitous computing and scientific discovery. Topics of interest include mobile/wearable/IoT computing, online social networks, spatial-temporal data, anomaly detection, recommender systems, and multi-modal data fusion. Her research is interdisciplinary in nature and interacts closely with a variety of application domains including environmental research, Earth sciences, renewable and sustainable energy, transportation, materials science, as well as the information needs in people's daily lives.

keywords

  • integration of systems, algorithms and application for efficient and effective data analytics in ubiquitous computing and scientific discovery, Mobile/wearable/IoT computing, social networks, spatial-temporal data, anomaly/misbehavior detection, similarity search, recommender systems, data fusion

Publications

selected publications

Teaching

courses taught

  • CSCI 4502 - Data Mining
    Primary Instructor - Fall 2018 / Fall 2019
    Introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to effectiveness and efficiency. Topics covered include data preprocessing, data warehouse, association, classification, clustering, and mining specific data types such as time-series, social networks, multimedia, and Web data. Same as CSCI 5502 and CSPB 4502.
  • CSCI 5502 - Data Mining
    Primary Instructor - Fall 2018 / Fall 2019
    Introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to effectiveness and efficiency. Topics covered include data preprocessing, data warehouse, association, classification, clustering, and mining specific data types such as time-series, social networks, multimedia, and Web data. Same as CSCI 4502.
  • CSCI 6000 - Introduction to the Computer Science PhD Program
    Primary Instructor - Fall 2018 / Fall 2019
    Instructs new Ph.D students in Computer Science how to obtain a Ph.D and how to become an effective member of the computer science research community. Makes students aware of formal requirements, educational objectives, and research themes. Provides evaluative criteria and guidelines for all objectives to be achieved.
  • CSCI 7000 - Current Topics in Computer Science
    Primary Instructor - Spring 2018 / Spring 2019
    Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 8 total credit hours.

Background

International Activities

global connections related to teaching and scholarly work (in recent years)

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