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Colleen McCue

dblp:90/2694 · also Colleen McLaughlin McCue · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data mining · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Smart cities and intelligent transportation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining › spatiotemporal data mining › spatio-temporal prediction
crime prediction
0.112011
Operational security analytics: doing more with less · KDD 2011
Data mining
predictive analytics
0.112011
Operational security analytics: doing more with less · KDD 2011
Smart cities and intelligent transportation
public safety
0.012011
Operational security analytics: doing more with less · KDD 2011

Methods — techniques the papers use, named apart from their topics

predictive analytics · 0.2
YearPublicationVenuePosition
2011 Operational security analytics: doing more with less
abstract
Why just count crime when you can anticipate, prevent and respond more effectively? Companies in the commercial sector have long understood the importance of being able to anticipate or predict future behavior and demand in order to respond efficiently and effectively. Embracing the promise of predictive analytics, the public safety community is moving from a focus on "what happened," to a system that enables the ability to anticipate future events and effectively deploy resources in front of crime; thereby, changing outcomes. While we have become familiar with the use of advanced analytics in support of fraud detection and prevention, techniques similar to those used to support customer loyalty programs and supply chain management have been used to prevent and solve violent crimes, enhance investigative pace and efficacy, support information-based risk and threat assessment, and deploy public safety resources more efficiently. As public safety agencies increasingly are asked to do more with less, the ability to anticipate crime represents a game changing paradigm shift; enabling information-based tactics, strategy and policy in support of prevention and response. Reporting, collecting and compiling data are necessary but not sufficient to increasing public safety. Ultimately, the ability to anticipate, prevent and respond more effectively will enable us to do more with less and change public safety outcomes.
Colleen McCue
KDD1