Hye-Chung Kum, PhD

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2014 Former Foster Youth: Employment Outcomes Up to Age 30

 

Stewart, C.J., Kum, H.-C., Barth, R.P., Duncan, D.F. Former foster youth: Employment outcomes up to age 30. Children and Youth Services Review, 2014, 36(0): 220–229.

2013 Population Informatics: Tapping the Social Genome to Advance Society

Kum, H.-C., Krishnamurthy, A., Machanavajjhala, A., and Ahalt, S. Population Informatics: Tapping the Social Genome to Advance Society: A Vision for Putting Big Data to Work for Population Informatics. 2013, pp. 56–63.

2013 Privacy Preserving Interactive Record Linkage (PPIRL)

Kum, H.-C., Krishnamurthy, A., Machanavajjhala, A., Reiter, M., and Ahalt, S. Privacy preserving interactive record linkage (PPIRL). Journal of the American Medical Informatics Association, 2013.

2013 Privacy-by-Design: Understanding Data Access Models for Secondary Data

Kum, H.-C., and Ahalt, S. Privacy-by-Design: Understanding Data Access Models for Secondary Data. AMIA Summits Translational Science Proceedings, 2013: 126–130.

2013 Secure Decoupled Linkage (SDLink) System for Building a Social Genome

Kum, H.-C., et al. Secure Decoupled Linkage (SDLink) system for building a social genome. In Big Data, 2013 IEEE International Conference on. 2013.

2013 The DataBridge

Rajasekar A., Kum, H.-C., Crosas M., et al. The DataBridge. Science Journal. ASE, 2(1), 2013. Nominated for Best Paper Award at ASE/IEEE International Conference on Big Data 2013.

2013 Privacy-Preserving Data Integration Using Decoupled Data

Kum, H.-C., Ahalt, S., and Pathak, D. Privacy-Preserving Data Integration Using Decoupled Data. In Security and Privacy in Social Networks, Springer New York, 2013, pp. 225–253.

2011 Dealing with Data: Governments Records

Kum, H.-C., Ahalt, S., and Carsey, T.M. Dealing with Data: Governments Records. Science, 2011, 332(6035): 1263–1263.

2011 Decoupled Data for Privacy Preserving Record Linkage with Error Management

Kum, H.-C., and Ahalt, S. Decoupled Data for Privacy Preserving Record Linkage with Error Management. In PASSAT / SocialCom, 2011.

2010 Felonious Arrests of Former Foster Care and TANF-Involved Youth

Barth, R.P., Duncan, D.F., Hodorowicz, M., Kum, H.-C. Felonious arrests of former foster care and TANF-involved youth. Journal of the Society for Social Work and Research, 2010, 1(2).

2009 Supporting Self-Evaluation in Local Government via Knowledge Discovery and Data Mining

Kum, H.-C., Duncan, D.F., and Stewart, C.J. Supporting self-evaluation in local government via Knowledge Discovery and Data Mining. Government Information Quarterly, 2009, 26(2): 295–304.

2009 Frequency-Based Load Shedding over a Data Stream of Tuples

Chang, J.H., and Kum, H.-C. Frequency-based load shedding over a data stream of tuples. Information Sciences, 2009, 179(21): 3733–3744.

2008 A Dynamic Website for County Level Child Welfare Outcome Measures

Kum, H.-C., Duncan, D.F., and Flair, K.A. A dynamic website for county level child welfare outcome measures. In Proceedings of the 2008 International Conference on Digital Government Research, 2008, pp. 383–384.

2008 Informing Child Welfare Policy and Practice Using Knowledge Discovery and Data Mining Technology via a Dynamic Web Site

Duncan, D.F., Kum, H.-C., et al. Informing Child Welfare Policy and Practice Using Knowledge Discovery and Data Mining Technology via a Dynamic Web Site. Child Maltreatment, 2008, 13(4): 383–391.

2007 Benchmarking the Effectiveness of Sequential Pattern Mining Methods

Kum, H.-C., Chang, J.H., and Wang, W. Benchmarking the effectiveness of sequential pattern mining methods. Data & Knowledge Engineering, 2007, 60(1): 30–50.

2007 Intelligent Sequential Mining via Alignment: Optimization Techniques for Very Large Databases

Kum, H.-C., Chang, J.H., and Wang, W. Intelligent sequential mining via alignment. In Advances in Knowledge Discovery and Data Mining, 2007, pp. 587–597.

2006 Sequential Pattern Mining in Multi-Databases via Multiple Alignment

Kum, H.-C., Chang, J.H., and Wang, W. Sequential pattern mining in multi-databases via multiple alignment. Data Mining and Knowledge Discovery, 2006, 12(2–3): 151–180.

2005 Comparative Study of Sequential Pattern Mining Models

Kum, H.-C., Paulsen, S., and Wang, W. Comparative study of sequential pattern mining models. In Foundations of Data Mining & Knowledge Discovery, 2005, pp. 43–70.

2004 Understanding Social Welfare Service Patterns Using Sequential Analysis

Kum, H.-C., Duncan, D., and Wang, W. Understanding social welfare service patterns using sequential analysis. In Proceedings of the 2004 National Conference on Digital Government Research, Seattle, WA, 2004.

2004 Successfully Adopting IT for Social Welfare Program Management

Duncan, D., Kum, H.-C., et al. Successfully adopting IT for social welfare program management. In Proceedings of the 2004 National Conference on Digital Government Research, Seattle, WA, 2004.

2003 Social Welfare Program Administration and Evaluation and Policy Analysis Using Knowledge Discovery and Data Mining (KDD) on Administrative Data

Kum, H.-C., et al. Social welfare program administration and evaluation and policy analysis using knowledge discovery and data mining (KDD) on administrative data. In Proceedings of the 2003 National Conference on Digital Government Research, Boston, MA, 2003.

2003 ApproxMAP: Approximate Mining of Consensus Sequential Patterns

Kum, H.-C., et al. ApproxMAP: Approximate mining of consensus sequential patterns. In Proceedings of the Third SIAM International Conference on Data Mining, 2003, pp. 311–315.