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Gayathri, B.
- Analysis of Text Clusters Based on Fuzzy and Rough K-Means Strategies
Authors
1 Department of Computer Science and Engineering, Mount Zion College of Engineering and Technology, Pudukkottai, Tamil Nadu, IN
Source
Data Mining and Knowledge Engineering, Vol 6, No 8 (2014), Pagination: 340-343Abstract
There are several issues in the present data mining industry regarding the text classification process and finding the accuracy parameters while implementing fuzzy. Based on the fuzzy rule the results are purely produced on the probabilistic mean, so no one can guarantee regarding the classified output. Regularly the rough K-Means strategy achieves the performance, or speed, or accuracy. Additionally applying the Association Rule Mining, this gives feature subset from the transactional data in an efficient manner. The major goal of this approach is to apply association rules to generate quicker results that enhance algorithm process. By means of the Ofrecca (one by one Fuzzy Relational Eigenvector Centrality-based Clustering Algorithm) in normal text, the conditions are not connected to more than one. A rough k-means algorithm is also used for fixing the cluster heads in more efficient manner. A single constituent can fit in to manifold cluster, but using the k-means algorithm every constituent can precisely fit in to one cluster. Both HFRECCA and rough k-means clustering algorithms are used with association rule to achieve the fuzzy relation in successful manner. It generates the quicker results and to reduce the classifier computational weight and augment the information steadiness.Keywords
Association Rule, Fuzzy Theory, Computational Load, K-Means Algorithm.
- Nutritional Profile of Selected Mine Workers
Authors
1 Department of Food Science and Nutrition, Avinashilingam Institute for Home Science and Higher Education for Women, Deemed University, Coimbatore - 641 043, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 34, No 4 (1997), Pagination: 95-98Abstract
Industrial workers constitute a vital segment of our population in view of their significant contribution to the national income. Industrial workers have increased in number from a mere 5 lakhs in 1950 to 92 lakhs in 1985 which is a good measure of our industrial development.- Nano Computing
Authors
1 Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, IN
2 Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, IN
Source
Digital Signal Processing, Vol 9, No 1 (2017), Pagination: 7-9Abstract
Nanotechnology is now a days strengthening its ischolar_mains in the field of computer science by contributing in the creation of more efficient computing components .Nanotechnology has been developed in several fields of studies including, material science, engineering , chemistry, physics, biology and computer science as well .Novel nano materials and nano devices are fabricated and controlled by nanotechnology tools and techniques, This paper shows how these nanotechnology tools and devices can be used to benefit Information technology Industry and we look for the needs and chances of nanotechnology research in computer science. Nano technology in computer science is named as Nano computing .which is divided into categories- Electronic Nano computing, Mechanical
Nano computing, Chemical
Nano computing, Quantum Nano computing etc. The application and use of nano materials in electronic devices, in optical and magnetic components are the economically most important parts of the nanotechnology permeate the design of artefacts at nowadays and likely in the near future. Advances in technology repeatedly allow software to lower and lower levels. This occurred long ago with microprogramming, when computers were stand-alone; more recently it occurred with programmable networks (e.g. routers); it is now occurring with wireless networks. Nanotechnology will lead to a new dramatic step of this kind. Although it will include applications that require little computational input, it will also provide opportunities for exploitation that involve complex computational interactions among structured populations of nanoscopic agents. The more sophisticated these structures and interactions, the more Computer Science (CS) research will be involved. The modification of today’s top-down technology to produce nano scale structures is difficult and expensive, a new generation of computer components will be required. A new style of technology is introduced, which assembles individual atoms or molecules into a refined product. This technology is termed as molecular technology or bottom-up technology. This bottom-up technology could be the answer for the computer industry. Though topdown technology currently remains the choice for constructing mass produced devices, nanotechnologists are having increasing success in developing bottom-up technology. Such research is wide ranging and includes: software engineering, networking, internet security, image processing, virtual reality, human machine interface, artificial intelligence, and intelligent systems. Most work focuses on the development of fast computing components. The nanometer level new devices, methods of assembly, and architectures are being investigated. The crossbar, an old idea, is expected to play a prominent role in these new developments; its regular structure is well suited to nanotechnology-based assembly. . It is not an attempt to violate any laws; it is something, in principle, that can be done.
- Characterization and Composting of Poultry Manure Compost and its Effect on Yield of Maize
Authors
1 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, G.K.V.K., Bengaluru (Karnataka), IN