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Automatic Rule Discovery for Data Transformation Using Fusion of Diversified Feature Formats

Computers, materials & Continua 2024年第7期80卷 695-713页

作者： G.Sunil Santhosh kumar m.rudra kumar Department of CSE Jawaharlal Nehru Technological UniversityAnantapur515002India Department of CSE Marri Laxman Reddy Institute of Technology and ManagementHyderabad500043India Department of Information Technology Mahatma Gandhi Institute of TechnologyHyderabad500075India

This article presents an innovative approach to automatic rule discovery for data transformation tasks leveraging XGBoost,a machine learning algorithm renowned for its efficiency and *** framework proposed herein utilizes the fusion of diversified feature formats,specifically,metadata,textual,and pattern *** goal is to enhance the system’s ability to discern and generalize transformation rules fromsource to destination formats in varied ***,the article delves into the methodology for extracting these distinct features from raw data and the pre-processing steps undertaken to prepare the data for the *** sections expound on the mechanism of feature optimization using Recursive Feature Elimination(RFE)with linear regression,aiming to retain the most contributive features and eliminate redundant or less significant *** core of the research revolves around the deployment of the XGBoostmodel for training,using the prepared and optimized feature *** article presents a detailed overview of the mathematical model and algorithmic steps behind this ***,the process of rule discovery(prediction phase)by the trained XGBoost model is explained,underscoring its role in real-time,automated data *** employingmachine learning and particularly,the XGBoost model in the context of Business Rule Engine(BRE)data transformation,the article underscores a paradigm shift towardsmore scalable,efficient,and less human-dependent data transformation *** research opens doors for further exploration into automated rule discovery systems and their applications in various sectors.

关键词： XGBoost business rule engine machine learning categorical query language humanitarian computing environment

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Reconstruction of f(R) Gravity with Ordinary and Entropy-Corrected(m,n)-Type Holographic Dark Energy model

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Communications in Theoretical Physics 2016年第7期65卷 149-154页

作者： Prabir rudra Department of mathematics Asutosh College Kolkata-700 026 India

In this assignment we will present a reconstruction scheme between f(R) gravity with ordinary and entropy corrected(m, n)-type holographic dark energy. The correspondence is established and expressions for the reconstructed f(R) models are determined. To study the evolution of the reconstructed models plots are generated. The stability of the calculated models are also investigated using the squared speed of sound in the background of the reconstructed gravities.

关键词：模型重构暗能量校正引力全息熵重建方案对应关系

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Assessment of mercury Concentrations in Water and Fish Tissue Analysis in Kaw Lake, Oklahoma, 2022

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Journal of Environmental Protection 2023年第1期14卷 50-65页

作者： Dejene Alemayehu Pratyaydipta rudra Skyler mathews Emily Douglas Cody Regnier Kaw Nation Environmental Department Kaw City USA Department of Statistics Oklahoma State University Stillwater USA

The Kaw Nation has been collecting water, sediment, and fish samples from Kaw Lake and upper Arkansas River from 2007 to present to examine the concentrations of mercury and other heavy metals to protect the health of the tribal members. Kaw Lake is in the North-Central part of Oklahoma. Kaw Lake is a permanent water body constructed in 1976 by the Army of Corps of Engineers. The Lake is consistently fed by the Arkansas River and other tributaries as runoff coming all the way from Colorado through Kansas to Kaw Lake of Oklahoma. The Lake has a surface area of 26.64 square miles (69 km2) and shoreline of 168 miles (270 km) with a total drainage area of 56,345 square miles (145,393 km2) and an average water depth of 8 meters. The water and fish samples were collected from 7 sites of Kaw Lake, once in a month and the fish samples once in a year during summertime, early July to end of July. The fish samples focused on 5 sport, predator, and bottom dwelling species of large consumable size, greater than 200 mm length and 560 grams weight. The five fish sampled were Catfish, White bass, Largemouth and Smallmouth bass, Black and White crappie. The fish and water samples were sent to Accurate Environmental Labs for detailed analysis. Predator species were analyzed as fillet and the bottom dwellings as a whole fish using EPA method 7471A-m. mercury from Water and Fish Tissue Samples were analyzed by Atomic Fluorescence Spectrometry. The laboratory analysis indicated that all the mercury concentration in the fish samples except in Blue Catfish and Spotted Bass fall below the maximum Contaminant Level (mCL) of 0.5 mg/kg.

关键词： mercury Contamination Fish Tissue Bioaccumulation

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Frozen shoulder-A prospective randomized clinical trial

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World Journal of Orthopedics 2017年第5期8卷 394-399页

作者： rudra Narayan mukherjee R m Pandey Hira Lal Nag Ravi mittal De-partment of Orthopaedics All India Institute of Medical Sciences Department of Biostatistics All India Institute of Medical Sciences

AIm To compare the results of arthroscopic capsular release with intra-articular steroid injections in patients of frozen *** Fifty-six patients with frozen shoulder were randomised to one of two treatment groups: Group 1, complete 360 degree arthroscopic capsular release and group 2, intra-articular corticosteroid injection(40 mg methyl prednisolone acetate). Both groups were put on active and passive range of motion exercises following the intervention. The outcome parameters were visual analogue scale(VAS) score for pain, range of motion and Constant score which were measured at baseline, 4, 8, 12, 16 and 20 wk after *** All the parameters improved in both the groups. The mean VAS score improved significantly more in the group 1 as compared to group 2 at 8 wk. This greater improvement was maintained at 20 wk with P value of 0.007 at 8 wk, 0.006 at 12 wk, 0.006 at 16 wk and 0.019 at 20 wk. The Constant score showed a more significant improvement in group 1 compared to group 2 at 4 wk, which was again maintained at 20 wk with P value of 0.01 at 4, 8, 12 and 16 wk. The gain in abduction movement was statistically significantly more in arthroscopy group with P value of 0.001 at 4, 8, 12, 16 wk and 0.005 at 20 wk. The gain in external rotation was statistically significantly more in arthroscopy group with P value of 0.007 at 4 wk, 0.001 at 8, 12, and 16 wk and 0.003 at 20 wk. There was no statistically significant difference in extension and internal rotation between the two groups at any time. CONCLUSION Arthroscopic capsular release provides subjective and objective improvement earlier than intra-articular steroid injection.

关键词： Adhesive capsulitis Frozen shoulder Capsular release Corticosteroid Idiopathic stiff shoulder Intra articular injection Steroid injection Arthroscopic arthrolysis Constant score

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