Crime Busting Model Based on Dynamic Ranking Algorithms

Busting Financial Crime with TIBCO

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Dynamic Perspectives on Crime∗

* I think David Lee for collaboration on related projects and Pat Kline and Demian Pouzo for unusually helpful comments. Mike Elsby provided a set of extremely detailed and insightful comments on an earlier draft. I am responsible for any errors.

Evolving Data Mining Algorithms on the Prevailing Crime Trend – An Intelligent Crime Prediction Model

A. Malathi and Dr. S. Santhosh Baboo Abstract— Crime is a behavior deviation from normal activity of the norms giving people losses and harms. Crimes are a social nuisance and cost our society dearly in several ways. In this paper we look at use of missing value and clustering algorithm for crime data using data mining. We will look at MV algorithm and Apriori algorithm with some enhancements t...

Re-ranking model based on document clusters

In this paper, we describe a model of information retrieval system that is based on a document reranking method using document clusters. In the ®rst step, we retrieve documents based on the inverted®le method. Next, we analyze the retrieved documents using document clusters, and re-rank them. In this step, we use static clusters and dynamic cluster view. Consequently, we can produce clusters th...