Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Dhanaraj, S.
- Studies on Packaging and Storage of Sohan Halwa
Abstract Views :177 |
PDF Views:1
Authors
K. V. L. Venkatesh
1,
S. Dhanaraj
1,
B. Mahadevaiah
1,
S. M. Ananthakrishna
1,
M. Mahadevaiah
1,
B. Anandaswami
1,
V. S. Govindarajan
1,
D. P. Sen
1
Affiliations
1 Central Food Technological Research Institute, Mysore- 570 013, IN
1 Central Food Technological Research Institute, Mysore- 570 013, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 20, No 8 (1983), Pagination: 241-248Abstract
The important role played by the sweetmeats in the Indian dietary and their abundant use in festival seasons in particular needs no emphasis. Of late, the increase in exports of sweetmeats to other countries, especially to Middle East, has further enhanced their importance and added problems of packaging and storage.
- Effect of Insect Infestation on the Protein Efficiency Ratio of the Proteins of Maize and Cowpea
Abstract Views :160 |
PDF Views:0
Authors
Affiliations
1 Central Food Technological Research Institute, Mysore, IN
1 Central Food Technological Research Institute, Mysore, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 12, No 11 (1975), Pagination: 354-357Abstract
Studies carried out by some workers have shown that insect infestation of cereals and legumes brings about deterioration in the nutritive value of these commodities.- Effect of Insect Infestation on the Chemical Composition and Nutritive Value of Maize and Cowpea
Abstract Views :164 |
PDF Views:0
Authors
P. Rajan
1,
K. V. Sanjeevarayappa
1,
V. A. Daniel
1,
A. Paul Jayaraj
1,
M. Swaminathan
2,
S. Dhanaraj
1
Affiliations
1 Central Food Technological Research Institute, Mysore, IN
2 CSIR, New Delhi, IN
1 Central Food Technological Research Institute, Mysore, IN
2 CSIR, New Delhi, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 12, No 10 (1975), Pagination: 325-332Abstract
Cereals and millets are the staple food of a great majority of the population in the developing countries, while legumes are important sources of proteins in the diets of low income group.- Supplementary Relations Between the Proteins of Bengal Gram, Rice and Ragi (Eleusine coracana)
Abstract Views :207 |
PDF Views:0
Authors
Affiliations
1 Central Food Technological Research Institute, Mysore, IN
1 Central Food Technological Research Institute, Mysore, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 11, No 3 (1974), Pagination: 137-143Abstract
Rice and ragi are the most important sources of proteins in the dietaries of the low income groups in some parts of India and other developing countries. These provide more than 70 per cent of the proteins in such diets.- Sensory Quality Evaluation of Papads:Quality Profile Technique and Development of a Composite Scoring Scale
Abstract Views :146 |
PDF Views:0
Authors
Affiliations
1 Central Food Technological Research Institute, Mysore-2 A, IN
1 Central Food Technological Research Institute, Mysore-2 A, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 8, No 5 (1971), Pagination: 249-259Abstract
Papads, like pickles, enjoy wide popularity among the traditional foods of India and are consumed throughout the country by large sections of the people. They are served in hotels and restaurants with lunch and/or dinner; they are also popular with the defence forces. Formerly, papad-making was a house-hold occupation for women folk.- Comparative Study of Effective Performance of Association Rule Mining in Different Databases
Abstract Views :162 |
PDF Views:4
Authors
A. Pavithra
1,
S. Dhanaraj
2
Affiliations
1 Department of Computer Science, Sree Saraswathi Thyagaraja College, Pollachi, IN
2 Department of Information Technology, Sree Saraswathi Thyagaraja College, Pollachi, IN
1 Department of Computer Science, Sree Saraswathi Thyagaraja College, Pollachi, IN
2 Department of Information Technology, Sree Saraswathi Thyagaraja College, Pollachi, IN
Source
Data Mining and Knowledge Engineering, Vol 10, No 4 (2018), Pagination: 74-77Abstract
Data mining practices expert procedures and methods to identify the tendencies and profiles concealed in data. Mining is an iterative process in a sequence. Different sources of data are stored in different databases. The mining depends on databases. This research is for various association rule mining applications of different databases. There are different databases in practice like large database, distributed database, medical database, relational database, spatial database. The process of mining these databases are carried out by different data mining techniques. For making decisions, association rule is most essential. They are associated with association rule mining techniques.
Keywords
Data Mining, Association Rule Mining, Spatial Data Mining, RDBMS, Medical Database, Large Database, Distributed Database.References
- J. Arokia Renjit and Dr.K.L.Shunmuganathan,” Mining the Data from Distributed Database Using an Improved Mining Algorithm”, Vol. 7, No. 3, March 2010 [(IJCSIS) International Journal of Computer Science and Information Security].
- Brijs, T., Goethals, B., Swinnen, G., Vanhoof, K. and Wets. G, “A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model”, 2000 [SIGKDD].
- Brijs, T., Swinnen, G., Vanhoof, K. and Wets.G, “Using Association Rules for Product Assortment Decisions: A Case Study”, 1999 [SIGKDD].
- Dong, J., Perrizo, W., Ding, Q. and Zhou, J., “The application of association rule mining to remotely sensed data”, 2000 [Proceedings of the ACM symposium on applied computing].
- Lee, W., Stolfo, S.J. and Mok, K.W., “A data mining framework for building intrusion detection models”, 1999 [IEEE Symposium on Security and Privacy].
- M Deypir and M H Sadreddini, “Distributed Association Rules Mining Using Non- derivable Frequent Patterns”, Vol. 33, Issue B6, pp. 511-26, 2009 [Iranian Journal of Science & Technology, Transaction B: Engineering].
- Maurice Houtsma and Arun Swami,” Set-oriented mining for association rules in relational databases”, Vol. 17, pp. 245-262, 1995 [Data and Knowledge Engineering].
- Pallavi Dubey, “Association Rule Mining on Distributed Data”, Vol. 3, Issue 1, ISSN: 2229-5518, 2012 [International Journal of Scientific & Engineering Research].
- Rakesh Agrawal, Tomasz Imielinski and Arun Swami, “Mining Association Rules between Sets of Items in Large Databases “, May 1993 [Proceedings of the ACM SIGMOD Conference, Washington DC, USA].
- Satou, K., Shibayama, G., Ono, T., Yamamura, Y., Furuichi, E., Kuhara, S. and Takagi, T., “Finding association rules on heterogeneous genome data”, 1997 [PSB].
- Tyler H. McCormick, C Rudin and D Madigan, “A Hierarchical Model for Association Rule Mining of Sequential Events: An Approach to Automated Medical Symptom Prediction”, 2000 [Submitted to the Annals of Applied Statistics].
- Wang, K. and Su, M.Y., “Item Selection by Hub-Authority Profit Ranking”, 2002 [SIGKDD].
- Xinhang Xu, Qiuhong S, Hongtao Z, Lei W and Y Liu, “Study and Application on the Method of Association Rules Mining Based on Genetic Algorithm”, 2012 [The 2nd International Conference on Computer Application and System Modeling].