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Mahesh, C.
- Enhancing Privacy Preservation in Data Mining using Cluster based Greedy Method in Hierarchical Approach
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Authors
Affiliations
1 Department of Information Technology, Vel Tech University, Chennai - 600062, Tamil Nadu, IN
1 Department of Information Technology, Vel Tech University, Chennai - 600062, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 3 (2016), Pagination:Abstract
Background/Objectives: Privacy preservation in data mining to hold back the sensitive data from attackers. Findings: There are various existing methods available to preserve the data like perturbation, anonymization, randomization etc., each method has its own advantages and disadvantages. The trade-off between security and utility of data should be handled with standardizing methods for the PPDM. In this paper explained a method based on PPDM in data mining using cluster based greedy method. Application/Improvements: This method can be applied in sensitive data areas such as hospitals, Customer Management System, government survey, etc., where there is need for privacy preservation.Keywords
Cluster based Greedy Method, Classification Error, Isometric Transformation, Privacy Preservation, Privacy Preservation RateFull Text
- Evaluation of Some Sugarcane Growing Red, Red Laterite and Black Soils of Medak District of Telangana
Abstract Views :243 |
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Authors
Affiliations
1 Department of Soil Science and Agricultural Chemistry, College of Agriculture, Prof. Jayashankar Telangana State Agricultural University, Hyderabad (Telangana), IN
1 Department of Soil Science and Agricultural Chemistry, College of Agriculture, Prof. Jayashankar Telangana State Agricultural University, Hyderabad (Telangana), IN
Source
An Asian Journal of Soil Science, Vol 14, No 1&2 (2019), Pagination: 1-12Abstract
A reconnaissance soil survey was undertaken in sugarcane growing soils of Medak district of Telangana to assess the characteristics of soils, evaluate the land by identifying potentials and limitations to suggest suitable management options in the perspective of developed land use decision for effective utilization of resources. Soil samples (128 surface and 128 subsurface) were collected at a depth of 0-15cm and 15-30cm and analyzed for morphological, physical, physico-chemical and available major nutrient status. All the surface and subsurface soils well developed structural variation and exhibited granular to sub angular blocky structure in surface and sub angular blocky to angular blocky in subsurface horizon. The textural classes of the district are sandy loam, sandy clay loam, sandy clay to clay loam and clay. The consistence of soils varied from loose to hard, very friable to firm, non-sticky, non- plastic to very sticky, very plastic in dry, moist and wet conditions, respectively. The pH ranges between extremely acidic to moderately alkaline in reaction and EC was non-saline. The organic carbon content ranged from low to high in surface soils and low to medium in subsurface soils. The soils are low to medium in available N, medium to high in P and K in surface soils. Major soil constraints include texture, erosion, slope, depth, drainage and low organic carbon, low availability of N and micronutrients. If the improvements could be done, there is scope that the area under marginally suitable may be converted to moderately suitable to highly suitable for the cultivation of different crops.Keywords
Sugarcane Growing Red, Red Laterite, Black Soils, Available Macronutrients, Constraints, Management.
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