Due to rapid development of the Internet, recent years have witnessed an explosion in the rate of data generation. Dealing with data at current scales brings up unprecedented challenges. From the algorithmic view point, executing existing linear algorithms in information retrieval and machine learning on such tremendous amounts of data incur intolerable computational and storage costs. To addre...

this survey is carried out with the aim of investigating iran’s export potentials of agricultural products to member countries of the organization of islamic conference (oic) through use of such appropriate methods as: rca, hs and cosine index. the dates are computed be means of hs data codes in the range of 010000-240000 during 2002-2006. the islamic countries are divided into 3 groups as base...

Abstract: This paper proposes a method for retrieving similar question articles from Web bulletin boards, which basically use the cosine similarity index derived from a user’s query sentence and article question sentences. Since these sentences are mostly short, it is difficult to distinguish whether article question sentences are similar to a user’s query sentence or not simply by applying the...

in this paper, an optimal control of quadratic performance index with nonlinear constrained is presented. the sine-cosine wavelet operational matrix of integration and product matrix are introduced and applied to reduce nonlinear differential equations to the nonlinear algebraic equations. then, the newton-raphson method is used for solving these sets of algebraic equations. to present ability ...

Lots of similarity-based algorithms have been designed to deal with the problem of link prediction in the past decade. In order to improve prediction accuracy, a novel cosine similarity index CD based on distance between nodes and cosine value between vectors is proposed in this paper. Firstly, node coordinate matrix can be obtained by node distances which are different from distance matrix and...

Text classification is a process where documents are categorized usually by topic, place, readability easiness, etc. For text classification by topic, a well-known method is Singular Value Decomposition. For text classification by readability, “Flesh Reading Ease index” calculates the readability easiness level of a document (e.g. easy, medium, advanced). In this paper, we propose Singular Valu...

A graph in van Eck and Waltman [JASIST 60(8), 2009, p. 1644], representing the relation between the Association Strength and the Cosine, is partially explained as a sheaf of parabolas, each parabola being the functional relation between these similarity measures on the trajectories . X Y a  , a constant. Based on earlier obtained relations between Cosine and other similarity measures (such as ...