Revenue management (RM) enhances the revenues of a company by means of demand-management decisions. An RM system must take into account the possibility that a booking may be canceled, or that a booked customer may fail to show up at the time of service (no-show). We review the Passenger Name Record data mining based cancellation forecasting models proposed in the literature, which mainly addres...

Audience interest, demography, purchase behavior and other possible classifications are extremely important factors to be carefully studied in a targeting campaign. This information can help advertisers and publishers deliver advertisements to the right audience group. However, it is not easy to collect such information, especially for the online audience with whom we have limited interaction a...

An analysis of acoustic features for a ternary cognitive load classification task and an application of a classification boosting method to the same task are presented. The analysis is based on a data set that encompasses a rich array of acoustic features as well as electroglottographic (EGG) data gathered for the COMputational PARalinguistic ChallengE (ComParE 2014). Supervised and unsupervise...

In this paper we present the system we submitted to the WMT12 shared task on Quality Estimation. Each translated sentence is given a score between 1 and 5. The score is obtained using several numerical or boolean features calculated according to the source and target sentences. We perform a linear regression of the feature space against scores in the range [1:5]. To this end, we use a Support V...

We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, we find that standard machine learning techniques definitively outperform human-produced baselines. However, the three machine learning methods we employed (Naive Bayes, maximum entropy classification, and support vecto...

BACKGROUND Socio-economic, demographic factors and Knowledge Attitude Practices (KAPs) have been recognized as critical factors that influence the incidence and transmission of dengue epidemics. However, studies that characterize above features of a risk free or low risk population are rare. Therefore, the present study was conducted to characterize the household related, demographic, socio-eco...

Effective management of insect and mite vectors of plant pathogens is of crucial importance to minimize vector-borne diseases in crops. Pesticides play an important role in managing vector populations by reducing the number of individuals that can acquire and transmit a virus, thereby potentially lowering disease incidence. Certain insecticides exhibit properties other than lethal toxicity that...

1 Section of Medical Entomology, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20892-8132, USA, 2 Center for Vector-borne Disease, University of Rhode Island, Kingston, RI 02881-0804, USA, and 3 Department of Environmental Science, Policy and Management, University of California, Berkeley, CA 94720,...

In this paper, opinion polarity classification on news texts has been carried out for a less privileged language Bengali using Support Vector Machine (SVM) 1 . The present system identifies semantic orientation of an opinionated phrase as either positive or negative. The classification of text as either subjective or objective is clearly a precursor to determine the opinion orientation of evalu...

This paper proposes a method to extract sentiment topics from a text collection. The method utilizes sentiment clues and a relaxed labeling schema to extract sentiment topics. Experiments with a quantitative and a qualitative evaluations was done to confirm the performance of the method. The quantitative evaluation with a polarity classification marked the accuracy of 0.701 in tweets and 0.691 ...