Andreas Olligschlaeger

Human trafficking (HT) for forced sexual exploitation, often described as modern-day slavery, is a pervasive problem that affects millions of people worldwide. Perpetrators of this crime post advertisements (ads) on behalf of their victims on adult service websites (ASW). These websites typically contain hundreds of thousands of ads including those...

Given a million escort advertisements, how can we spot near-duplicates? Such micro-clusters of ads are usually signals of human trafficking. How can we summarize them to convince law enforcement to act? Spotting micro-clusters of near-duplicate documents is useful in multiple, additional settings, including spam-bot detection in Twitter ads, plagia...

Law enforcement and domain experts can detect human trafficking (HT) in online escort websites by analyzing suspicious clusters of connected ads. How can we explain clustering results intuitively and interactively, visualizing potential evidence for experts to analyze? We present T raffic V is , the first interface for cluster-level HT detection...

This paper introduces a pattern recognizer, similar to weighting schemes used in combining time series forecasts, for use in spatial adaptive filtering applied to estimating multivariate cross-sectional models. The pattern recognizer enhances the ability to automatically detect and estimate parameters with discontinuous or sharp gradient changes ov...

We develop a leading indicator model for forecasting serious property and violent crimes based on the crime attractor and displacement theories of environmental criminology. The model, intended for support of tactical deployment of police resources, is at the microlevel scale; namely, 1-month-ahead forecasts over a grid system of 141 square grid ce...

The major question investigated is whether it is possible to accurately forecast selected crimes 1 month ahead in small areas, such as police precincts. In a case study of Pittsburgh, PA, we contrast the forecast accuracy of univariate time series models with naı̈ve methods commonly used by police. A major result, expected for the small-scale data...

The Informedia Digital Video Library system extracts information from digitized video sources and allows full content search and retrieval over all extracted data. This extracted 'metadata' enables users to rapidly find interesting news stories and to quickly identify whether a retrieved TV news story is indeed relevant to their query. This article...

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To improve library access, the Informedia Digital Video Library uses automatic processing to derive descriptors for video. A new extension to the video processing extracts geographic references from these descriptors. The operational library interface shows the geographic entities addressed in a given story, highlighting the regions discussed in th...

The Informedia Digital Video Library contains over 1200 hours of video. Through automatic processing, descriptors are derived for the video to improve library access. A new extension to the video processing is the extraction of geographic references from these descriptors. The operational library interface shows the geographic entities addressed in...

The Informedia Digital Video Library system extracts information from digitized video sources and allows full content search and retrieval over all extracted data. This extracted 'metadata' enables users to rapidly find interesting news stories and to quickly identify whether a retrieved TV news story is indeed relevant to their query. Through the...

Thesis (Ph. D.)--Carnegie Mellon University, 1997. Includes bibliographical references. Photocopy.

Thesis (M.A.)--University of British Columbia, 1986. Includes bibliography.

The recent change in emphasis from reactive to proactive law enforcement, as evidenced by such concepts as community-oriented polic- ing, has resulted in the need for tools to support these efforts. While geo- graphic information systems (GISs) have been very successful at tracking criminal activity, proactive law enforcement requires systems that...