Yuntis is a fully-functional prototype of a complete web search engine with features comparable to those available in commercial-grade search engines. In particular, Yuntis supports page quality scoring based on global web linkage graph, extensively exploits text associated with links, computes pages’ keywords and lists of similar pages of good quality, and provides a very flexible query langua...

The proliferation of peer-to-peer (P2P) systems has come with various compelling applications including file sharing based on distributed hash tables (DHTs) or other kinds of overlay networks. Searching the content of files (especially Web Search) requires multi-keyword querying with scoring and ranking. Existing approaches have no way of taking into account the correlation between the keywords...

In this paper we investigate properties of multicriteria methods that are used for building land-use suitability assessment criteria. We identify and describe fundamental properties that are of interest in the land-use suitability analysis and the design of suitability maps. The existing multicriteria methods can be evaluated from the standpoint of their ability to support the desirable propert...

Tandem mass spectrometry (MS/MS) is the engine driving high-throughput protein identification. Protein mixtures possibly representing thousands of proteins from multiple species are treated with proteolytic enzymes, cutting the proteins into smaller peptides that are then analyzed generating MS/MS spectra. The task of determining the identity of the peptide from its spectrum is currently the we...

Nowadays more and more modern medical degree programs focus on self-directed and problem-based learning. That requires students to search for high quality and easy to retrieve online resources. YouTube is an emerging platform for learning human anatomy due to easy access and being a free service. The purpose of this study is to make a quantitative and qualitative analysis of the available human...

AdaBoost is a well known, effective technique for increasing the accuracy of learning algorithms. However, it has the potential to overfit the training set because its objective is to minimize error on the training set. We show that with the introduction of a scoring function and the random selection of training data it is possible to create a smaller set of feature vectors. The selection of th...

Histone modifications provide an important layer of gene regulation in eukaryotes. In this paper, we propose an approach that identifies the histone modification patterns most relevant for specific biological functions, such as flowering in plants. We first propose a new pattern scoring method, which evaluates the importance of each combinatorial pattern of histone modifications; this is used a...

This paper proposes an emotion recognition system. Human emotion can be expressed through many kinds of medium such as speech, image, facial expression, and so forth. This paper focuses on the textual data of them. Proposed system is a hybrid system that uses alternatively two methods, keyword-based and machine learning method. Keyword-based methods are traditional approaches using emotional ke...

Using a scoring system, this paper provides a comparative assessment of the quality of data between XBRL formatted financial reports and non-XBRL financial reports. It shows a major improvement in the quality of data of XBRL formatted financial reports. Although XBRL formatted financial reports do not show much advantage in the quality at the beginning, XBRL financial reports lately display a l...

The proposed system is able to collect useful information from the twitter website and efficiently perform sentiment analysis of tweets regarding the Smart phone war. The system uses efficient scoring system for predicting the user’s age. The user ‘gender is predicted using a well trained Naïve Bayes Classifier. Sentiment Classifier Model labels the tweet with a sentiment. This helps in compreh...