http://www.uokufa.edu.iq/journals/index.php/jkmc/issue/feedJournal of Kufa for Mathematics and Computer2018-02-19T16:32:16+00:00Asst.Prof. Abdulhamza hamzaAbdulhamza.hamza@uokufa.edu.iqOpen Journal SystemsJournal of Kufa for Mathematics and Computer aims to publish original research papers and survey articles in all areas of Mathematics, Statistics and Computer Science.http://www.uokufa.edu.iq/journals/index.php/jkmc/article/view/6764NEGATIVE THEOREM FOR LP,0<P<1 MONOTONE APPROXIMATION2018-02-19T16:32:16+00:00GHAZI ABDULLAH MadlolGhazi717@yahoo.comFor a given nonnegative integer number n, we can find a monotone function f depending on n, defined on the interval I=[-1,1], and an absolute constant c>0, satisfying the following relationship: (2〖E_n (f ́ )〗_p)/(n+1)^3 ≤〖E_(n+1)^1 (f)〗_p≤c〖E_n (f ́ )〗_p, where 〖E_(n+1)^1 (f)〗_p is the degree of the best Lp monotone approximation of the function f by algebraic polynomial of degree not exceeding n+1. 〖E_n (f ́ )〗_p is the degree of the best Lp approximation of the function f ́ by algebraic polynomial of degree not exceeding n.2018-02-19T11:27:49+00:00Copyright (c) 2018 Journal of Kufa for Mathematics and Computerhttp://www.uokufa.edu.iq/journals/index.php/jkmc/article/view/6765Distributed Information Retrieval Based On Metaheuristic Search and Query Expansion2018-02-19T11:27:49+00:00Alia Karim Abdul Hassanhassanalia2000@yahoo.comMustafa Jasim Hadimustafa_awadi@yahoo.comDistributed information retrieval DIR is a model enables a user to access many searchable databases reside in different locations. DIR is more complex than the centralized information retrieval IR . It requires addressing two significant additional problems that are the resource selection and the results merging. Many techniques for addressing the two problems have been published in the literature. However they still have a negative impact on retrieving quality and response time. This paper aims to improve the DIR efficiency through using a meta heuristic algorithm and improving the result quality through a query expansion. The algorithm has been strengthened using the nearest neighbor graph in order to improve the search performance.2018-02-19T11:27:49+00:00Copyright (c) 2018 Journal of Kufa for Mathematics and Computerhttp://www.uokufa.edu.iq/journals/index.php/jkmc/article/view/6766Solution of Singular Fuzzy Fraction order Control Systems via Drazin inverse2018-02-19T11:27:49+00:00Alaa Muhsien Abdalaamuhsien@yahoo.comIn this paper , we investigate solution for singular fuzzy fractional order control system , which in turn gives us two subsystem by drazin inverse . One of these subsystems contain fuzzy fractional order control system used fuzzy laplace transform as well as lower function and upper function in order to get the solution .2018-02-19T11:27:49+00:00Copyright (c) 2018 Journal of Kufa for Mathematics and Computerhttp://www.uokufa.edu.iq/journals/index.php/jkmc/article/view/6767A Hybrid Data Warehouse Model to Improve Mining Algorithms2018-02-19T11:27:49+00:00kadhim B.S. AlJanabirusul.kadhim1992@gmail.comRusul Kadhim Meshjalrusul.kadhim1992@gmail.comThe performance of different Data Mining Algorithms including Classification, Clustering, Association, Prediction and others are highly related to the approaches used in Data Warehouse design and to the way the data is stored (lightly summarized, highly summarized and detailed).Detailed data is important to get detailed reports but as the amount of data is huge this represents a big challenge to the mining algorithms, on the other hand, the summarized data leads to better algorithms performance but the lack of the required knowledge may affect the overall mining process. Knowledge extraction and mining algorithms performance and complexities represent a big challenge in data analysis field, hence the work in this paper represents a proposed approach to improve the algorithms performance throughout well designed warehouse and data reduction technique. The work in this paper presents a hybrid warehouse galaxy model that stores data in three different formats including detailed, summarized and highly summarized data. The time and space complexity are the major criteria in the proposed approach. Real data was collected about schools, students and teachers from different AlNajaf AlAshraf cities, the data was preprocessed, reduced mainly through concept hierarchy and then converted into dimensions and fact tables (Warehouse Galaxy Model) which in turn are converted into multidimensional cubes. Roll up and drill down queries were highly used to get the required information. The resultant data cubes and in turn the corresponding warehouse model presented in this work showed a reasonable improvement in knowledge extraction algorithms for the data under discussion. The results of the queries showed better performance of different roll up and drill down queries compared to detailed data queries2018-02-19T11:27:49+00:00Copyright (c) 2018 Journal of Kufa for Mathematics and Computer