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Abstract: Data mining techniques explore critical information in various domains (for example in CRM (customer relationship management), HR (Human Resource), GIS (Geographic Information System) etc.) but most importantly in medical domain. In medical domain, data mining can assist in minimizing the risk of developing some stereotyped diseases such as cancer, heart diseases, diabetes etc. In this paper, authors have focused data of Diabetic patients. Diabetic patient’s body lacks ability to manage the glucose level in blood which can affect the other body mechanism. This can lead to the dysfunctioning of other physiological and psychological parameters such as reduced weight, skin folding. These parameters may be a valuable data source for the research. Diabetes mellitus placed 4th among Noncommunicable diseases-NCDs, caused 1.5 million global deaths each year worldwide [1]. The increase in digital information has elevated numerous challenges especially when it comes to automated content analysis and to make use of some machine learning techniques to aid mankind for predicting the non-communicable diseases like diabetics. . In this research different classifying algorithms such as Naïve bayes, MLP, J.48, ZeroR, Random Forest, and Regression were applied to depict the result. The conducted research aims to extract knowledge from the given set of data and to generate comprehensive and intelligent results. Keywords: Data mining, Classification, Algorithm, Diabtes MelitusType II. |
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Abstract: Complexity, and Handling of huge data is a crucial target for all management systems. Databases are the backbone, central and core component of a computer application to store data in a logical way, which define the structure and mechanism for manipulation of data. Many Databases are available for handling and saving huge data including commercial and non-commercial like Microsoft SQL Server, Oracle Database, and MYSQL etc. Many vendors are working on modern techniques of databases spatio-temporal, object-relational, parallel databases etc. This novel research evaluates the comparative study and execution performance of top three databases according to their particular scenario and situation, after reading the paper the computer related experts especially developers easily judge, which database is most reliable in particular scenario, choosing the right decision for development of huge computer applications for hospitals, banks, and industries. Keywords: Microsoft SQL Server, Oracle, MySQL, Huge Databases. |
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Abstract: Nitrogen (N) fertilization at higher rates enhances the yield of crop plants; however, overuse of N in cultivation of crop not only decreased Nitrogen Use Efficiency of crop plants but caused severe environmental pollution. Hence, the optimum use of N is perquisite for sustainable development of Agriculture. This study was carried out during 2016, to evaluate the effect of various nitrogen applications on the economic performance of muskmelon. This research work was laid out at experimental site of Horticulture orchard SAU Tandojam with three replications in RCBD. The growth and yield performance of muskmelon was assessed by using six nitrogen (N) levels viz; 0, 30, 60, 90, 120 and 150 kg ha-1. Two varieties including Chandny and golden tumbro were used in the current study.The result showed that effect of different nitrogen doses on the economic important parameters of muskmelon was significant (P<0.05) for all the studied traits. The crop fertilized with maximum N had positive effect on vegetative traits and produced tallest plants with more branches. Nitrogen also showed significant effects on fruits characteristics and produced plants with more fruits, highest weight and maximum yield. The results further reflected that there was a significant reduction in all vegetative and fruit contributing characters with each reduction in N application rate. The cultivars revealed a highly significant response to various N doses. The variety Golden Tumbro showed maximum vine length (201.00 cm), more branches vine-1 (3.4222), more fruit vine-1 (6.7339), highest fruits weight vine-1 (3.0056), maximum single fruit weight (656.83 g), fruit yield plot-1 (4.4450 kg) and fruit yield (24.635 t ha-1). Keywords: Muskmelon, Nitrogen, Fertilizer, Fruit, Vine. |
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Abstract: Before the 1960’s organizations used to calculate figures on speculation. But ever since the demand for data analysis increased, Business Intelligence and Analytics is growing so rapidly that today it has been used for government, non-government, profitable, non profitable as well as the corporate world. The effect and impact on business intelligence system on various aspects of economy are increasing year to year. Recently, it is being used in the food industry as well. Many advanced techniques give rise to efficient methods and ways to provide a robust and effective environment for implementing BI systems in the food manufacturing industry domain; which is one of the most important industries across the globe. Hence this makes quite sense that this area would make use of such BI tools and take advantage in the similar manner as marketing firms and financial departments for understanding their customer needs, increasing efficiency and for keeping track of the rising demands. This paper discusses a BI system on a food manufacturing industry; National Foods Canada along with the characteristics, data, methodology as well as tools used in the system. Also examples with references of the business intelligence systems used in the food manufacturing industries are presented. Keywords: Business intelligence, data warehouse, foods industry. |
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Abstract: A study was carried out in Mirpurkhas District of Sindh Province during the year 2015-16, aiming to observe post-harvest losses of onions associated with the cultivators. Following the random sampling 60 respondents were selected from 12 villages of 06 Talukas in the District. Interviews were conducted for the collection of data. Problems expressed were as; high cost of fertilizers (93.33%), high cost of pesticides (93.33%), hand weeding is labour consuming and expensive (91.66%), labour problems during harvesting (85%), ineffective and costly weedicides (80%), lack of knowledge about recommended fertilizers doses for onion crop (80%) and lack of knowledge about improved varieties (68.33%). The problems in marketing of onion include lack of remunerative price (96.66%), fluctuation in market price (93.33%) and high charges of transportation (20%). The present study suggested that training/ awareness programs should be conducted for cultivators regarding establishing technical storage and handling onion problems. Keywords: Onion cultivators, Mirpurkhas, Post-harvest losses, Suggestions. |