Given a set of entities associated with points in Euclidean space, minimum sum-of-squares clustering (MSSC) consist in partitioning this set into clusters su...

Discrete-time survival data with time-varying covariates are often encountered in practice. One such example is bankruptcy studies where the status of each f...

It is observed that mutations in the formulations of test problems over time are not infrequent. Ensuing problems are illustrated with examples from geometri...

Finding maximum likelihood parameter values for Finite Mixture Model (FMM) is often done with the Expectation Maximization (EM) algorithm. However the choice...

We consider an inventory routing problem in discrete time where a supplier has to serve a set of customers over a time horizon. A capacity constraint for th...

A profit and a demand are associated with each arc of a set of profitable arcs of a given graph. A travel time is associated with each arc of the graph. A fl...

<p> The complementarity of two renewable energy sources, namely hydro and wind, is investigated. We consider the diversification effect of wind power to re...

Tree based methods have not yet been adapted to handle mixed effects. Previous works extending them to accommodate correlated data are based on the multivari...

A magnet is a pair <i>u,v</i> of adjacent vertices such that the proper neighbours of <i>u</i> are completely linked to the proper neighbours of <i>v</i>. It...

This work proposes a statistical methodology to handle aggregate data. Aggregate data arises in many fields such as medical science, ecology, social science,...

This research assesses the impact of the various states of mind of Flow psychological theory (Csíkszentmihályi 1990) in relation to brand recall and recognit...

This paper presents a model for identifying general goals of anonymous consumers visiting a retail website. When visiting a transactional website, consumers ...

Question retrieval systems, unlike question answering systems, exploit the knowledge contained in previously answered questions to answer new ones by returni...

There has been a wide interest to extend univariate and multivariate nonparametric procedures to clustered and hierarchical data. Traditionally, parametric m...

Top-tier customers - that is, those 20% of customers that typically bring in 80% of all profits - are extremely valuable to companies. In the many instances ...

Variable neighborhood search (VNS) is a metaheuristic, or framework for building heuristics, based upon systematic change of neighborhoods both in a decent ...

Minimum sum-of-squares clustering (MSSC) consists in partitioning a given set of <i>n</i> points into <i>k</i> clusters in order to minimize the sum of squar...

This paper estimates a structural vector autoregression model to assess the dynamic effects of terrorism on output and prices in Israel over the post-1985 pe...

Methods, models, heuristic and exact algorithms for clustering are reviewed from a mathematical programming view point.

A recent proof of NP-hardness of Euclidean sum-of-squares clustering, due to Drineas et al., <i>Machine Learning</i> 56, 9--33, 2004, is not valid. An altern...