Clustering is one of most important methods of data mining. It is used to identify unknown yet interesting and useful patterns or trends in datasets. There are different types of clustering algorithms such as partitioning, hierarchical, grid and density-based. In general, clustering methods are considered unsupervised, however, in recent years the new branch of clustering algorithms has emerged...

OBJECTIVES To identify the frequency of violent commercials during the major league baseball playoffs in 1998 and to compare it with the 1996 playoffs. DESIGN AND SETTING All 4 World Series games televised on the Fox Television Network (Fox), all 6 National League Championship Series (NLCS) televised by Fox, and 5 of 6 American League Championship Series (ALCS) playoff games televised by the ...

Lama masa studi mahasiswa merupakan salah satu poin penilaian dalam akreditasi suatu program pada institusi perguruan tinggi. Pendeteksian dini keterlambatan dapat dilakukan dengan memanfaatkan teknik data mining. Pada penelitian ini diterapkan algoritma Naïve Bayes Classifier (NBC) dan feature selection menggunakan Informaton Gain (IG) Correlation Attribute (CA) tujuan membangun model prediksi...

The cladding process aims to improve mechanical, chemical, and physical features in metal surfaces. laser is frequently used promote such alterations through deposition of metals/alloys with superior mechanical behavior on the substrate. In this contribution, an ASTM A36 mild steel was covered AISI 316L reinforced niobium carbide (NbC) powder as a filler using multiple steps. effect studied par...

Abst rac t . A new classification algorithm called VFI (for Voting Feature Intervals) is proposed. A concept is represented by a set of feature intervals on each feature dimension separately. Each feature participates in the classification by distributing real-valued votes among classes. The class receiving the highest vote is declared to be the predicted class. VFI is compared with the Naive B...

In this work, a potential semiorganic nonlinear optical candidate NH4B[D-(+)-(C4H4O5)]2·H2O (NBC) has been studied using Density Functional Theory. The origin of the second harmonic generation (SHG) effect of NBC crystals for the NH4B[D-(+)-(C4H4O5)]2·H2O molecular complex is explained by employing a combination of the density of states, SHG density and molecular orbital analysis. It reveals a ...

This work was supported by NSF grant CCF0937094 and IARPA via DoI/NBC contract number D12PC00337. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation thereon. Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official p...

LetM =M(E) be a matroid on a linear ordered set E . The Orlik–Solomon Z-algebra OS(M) of M is the free exterior Z-algebra on E , modulo the ideal generated by the circuit boundaries. The Z-module OS(M) has a canonical basis called ‘no broken circuit basis’ and denoted nbc. Let eX = ∏ ei , ei ∈ X ⊂ E . We prove that when eX is expressed in the nbc basis, then all the coefficients are 0 or ±1. We...

This paper presents an unsupervised method that uses limited amount of labeled data and a large pool of unlabeled data to improve natural language call routing performance. The method uses multiple classifiers to select a subset of the unlabeled data to augment limited labeled data. We evaluated four widely used text classification algorithms; Naive Bayes Classification (NBC), Support Vector ma...