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168 results on '"Rathipriya, R."'

3. Forecasting of Rainfall Using Neural Network and Traditional Almanac Models

Author

Ragunath, R., Dhamodharavadhani, S., Rathipriya, R., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Woungang, Isaac, editor, Dhurandher, Sanjay Kumar, editor, Pattanaik, Kiran Kumar, editor, Verma, Anshul, editor, and Verma, Pradeepika, editor

Published
2023
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4. A Prediction Model with Multi-Pattern Missing Data Imputation for Medical Dataset

Author

Jegadeeswari, K., Ragunath, R., Rathipriya, R., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Woungang, Isaac, editor, Dhurandher, Sanjay Kumar, editor, Pattanaik, Kiran Kumar, editor, Verma, Anshul, editor, and Verma, Pradeepika, editor

Published
2023
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5. Diabetes Twitter Classification Using Hybrid GSA

Author

Diviya Prabha, V., Rathipriya, R., Kacprzyk, Janusz, Series Editor, Jain, Lakhmi C., Series Editor, Nayak, Janmenjoy, editor, Das, Asit Kumar, editor, Naik, Bighnaraj, editor, Meher, Saroj K., editor, and Brahnam, Sheryl, editor

Published
2023
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6. Machine Learning-Based Forecasting Technique for Crop Yield: A Study

Author

Ragunath, R., Narmadha, N., Rathipriya, R., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ranganathan, G., editor, Fernando, Xavier, editor, and Piramuthu, Selwyn, editor

Published
2023
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7. Missing Data Imputation Using Ensemble Learning Technique: A Review

Author

Jegadeeswari, K., Ragunath, R., Rathipriya, R., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ranganathan, G., editor, Fernando, Xavier, editor, and Piramuthu, Selwyn, editor

Published
2023
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12. Contributors

Author

Acharya, Soutrik, primary, Ahmed, Kowshik, additional, Al-Dabass, David, additional, Anisha Kumari, K., additional, Annappa, B., additional, Baik, Sung Wook, additional, Behera, H.S., additional, Bishi, Dillip Kumar, additional, Cannella, Roberto, additional, Cetin, Onursal, additional, Das, Asit Kumar, additional, Dash, Pandit Byomakesha, additional, Dodia, Shubham, additional, Ghosh, Dyuti, additional, Ghosh, Uttam, additional, Gorur, Kutlucan, additional, Gowri, R., additional, Haq, Ijaz Ul, additional, Jeyaraj, Pandia Rajan, additional, Kumar, Pemmada Suresh, additional, Lagalla, Roberto, additional, Liu, Shuai, additional, Liu, Xiangbin, additional, Midiri, Massimo, additional, Min Ullah, Fath U, additional, Mishra, Manohar, additional, Mohapatra, Subhashree, additional, Muhammad, Khan, additional, Nadar, Edward Rajan Samuel, additional, Naik, Bighnaraj, additional, Nayak, Debasish Swapnesh Kumar, additional, Nayak, Janmenjoy, additional, Nayak, SoumyaRanjan, additional, Oram, Etuari, additional, Ozer, Ilyas, additional, Padhi, Priyadarshini, additional, Panigrahi, Bijaya Ketan, additional, Panigrahi, Chhabi Rani, additional, Pati, Bibudhendu, additional, Pelusi, Danilo, additional, Rath, Chandi Charan, additional, Rathipriya, R., additional, Reddy, Dukka Karun Kumar, additional, Ripon, Shamim H., additional, Sahani, Mrutyunjaya, additional, Sharma, Renu, additional, Shibly, Mir Moynuddin Ahmed, additional, Song, Liping, additional, Swain, Bhanja Kishor, additional, Swapnarekha, H., additional, Swarnkar, Tripti, additional, Temurtas, Feyzullah, additional, Tisha, Tahmina Akter, additional, Vernuccio, Federica, additional, and Vimal, S., additional

Published
2023
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14. Rainfall-Based Crop Selection Model Using MapReduce-Based Hybrid Holt Winters Algorithm

Author

Kaleeswaran, V., Dhamodharavadhani, S., Rathipriya, R., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Raje, Rajeev R., editor, Hussain, Farookh, editor, and Kannan, R. Jagadeesh, editor

Published
2022
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21. Optimizing Node Coverage and Lifespan of Wireless Body Area Network Using Hybrid Particle Swarm Optimization

Author

Selvaraj, S., Rathipriya, R., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Bindhu, V., editor, Tavares, João Manuel R. S., editor, Boulogeorgos, Alexandros-Apostolos A., editor, and Vuppalapati, Chandrasekar, editor

Published
2021
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25. Prediction of Patient Readmission Using Machine Learning Techniques

Author

Diviya Prabha, V., Rathipriya, R., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Balusamy, Suresh, editor, Dudin, Alexander N., editor, Graña, Manuel, editor, Mohideen, A. Kaja, editor, Sreelaja, N. K., editor, and Malar, B., editor

Published
2020
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31. Extraction of Protein Sequence Motif Information using PSO K-Means

Author

Gowri, R. and Rathipriya, R.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

The main objective of the paper is to find the motif information.The functionalities of the proteins are ideally found from their motif information which is extracted using various techniques like clustering with k-means, hybrid k-means, self-organising maps, etc., in the literature. In this work protein sequence information is extracted using optimised k-means algorithm. The particle swarm optimisation technique is one of the frequently used optimisation method. In the current work the PSO k-means is used for motif information extraction. This paper also deals with the comparison between the motif information obtained from clusters and biclustersusing PSO k-means algorithm. The motif information acquired is based on the structure homogeneity of the protein sequence.

Published
2015

32. Extraction of Web Usage Profiles using Simulated Annealing Based Biclustering Approach

Author

Rathipriya, R. and Thangavel, K.

Subjects
Computer Science - Information Retrieval
Abstract

In this paper, the Simulated Annealing (SA) based biclustering approach is proposed in which SA is used as an optimization tool for biclustering of web usage data to identify the optimal user profile from the given web usage data. Extracted biclusters are consists of correlated users whose usage behaviors are similar across the subset of web pages of a web site where as these users are uncorrelated for remaining pages of a web site. These results are very useful in web personalization so that it communicates better with its users and for making customized prediction. Also useful for providing customized web service too. Experiment was conducted on the real web usage dataset called CTI dataset. Results show that proposed SA based biclustering approach can extract highly correlated user groups from the preprocessed web usage data.

Published
2014

33. Region-Wise Rainfall Prediction Using MapReduce-Based Exponential Smoothing Techniques

Author

Dhamodharavadhani, S., Rathipriya, R., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Peter, J. Dinesh, editor, Alavi, Amir H., editor, and Javadi, Bahman, editor

Published
2019
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36. Cohesive Sub-network Mining in Protein Interaction Networks Using Score-Based Co-clustering with MapReduce Model (MR-CoC)

Author

Gowri, R., Rathipriya, R., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Rajsingh, Elijah Blessing, editor, Veerasamy, Jey, editor, Alavi, Amir H., editor, and Peter, J. Dinesh, editor

Published
2018
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42. A Fuzzy Co-Clustering approach for Clickstream Data Pattern

Author

Rathipriya, R. and Thangavel, K.

Subjects
Computer Science - Information Retrieval
Abstract

Web Usage mining is a very important tool to extract the hidden business intelligence data from large databases. The extracted information provides the organizations with the ability to produce results more effectively to improve their businesses and increasing of sales. Co-clustering is a powerful bipartition technique which identifies group of users associated to group of web pages. These associations are quantified to reveal the users' interest in the different web pages' clusters. In this paper, Fuzzy Co-Clustering algorithm is proposed for clickstream data to identify the subset of users of similar navigational behavior /interest over a subset of web pages of a website. Targeting the users group for various promotional activities is an important aspect of marketing practices. Experiments are conducted on real dataset to prove the efficiency of proposed algorithm. The results and findings of this algorithm could be used to enhance the marketing strategy for directing marketing, advertisements for web based businesses and so on.

Published
2011

43. Binary Particle Swarm Optimization based Biclustering of Web usage Data

Author

Rathipriya, R., Thangavel, K., and Bagyamani, J.

Subjects
Computer Science - Information Retrieval, Computer Science - Systems and Control
Abstract

Web mining is the nontrivial process to discover valid, novel, potentially useful knowledge from web data using the data mining techniques or methods. It may give information that is useful for improving the services offered by web portals and information access and retrieval tools. With the rapid development of biclustering, more researchers have applied the biclustering technique to different fields in recent years. When biclustering approach is applied to the web usage data it automatically captures the hidden browsing patterns from it in the form of biclusters. In this work, swarm intelligent technique is combined with biclustering approach to propose an algorithm called Binary Particle Swarm Optimization (BPSO) based Biclustering for Web Usage Data. The main objective of this algorithm is to retrieve the global optimal bicluster from the web usage data. These biclusters contain relationships between web users and web pages which are useful for the E-Commerce applications like web advertising and marketing. Experiments are conducted on real dataset to prove the efficiency of the proposed algorithms.

Published
2011
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44. Evolutionary Biclustering of Clickstream Data

Author

Rathipriya, R., Thangavel, Dr. K., and Bagyamani, J.

Subjects
Computer Science - Neural and Evolutionary Computing
Abstract

Biclustering is a two way clustering approach involving simultaneous clustering along two dimensions of the data matrix. Finding biclusters of web objects (i.e. web users and web pages) is an emerging topic in the context of web usage mining. It overcomes the problem associated with traditional clustering methods by allowing automatic discovery of browsing pattern based on a subset of attributes. A coherent bicluster of clickstream data is a local browsing pattern such that users in bicluster exhibit correlated browsing pattern through a subset of pages of a web site. This paper proposed a new application of biclustering to web data using a combination of heuristics and meta-heuristics such as K-means, Greedy Search Procedure and Genetic Algorithms to identify the coherent browsing pattern. Experiment is conducted on the benchmark clickstream msnbc dataset from UCI repository. Results demonstrate the efficiency and beneficial outcome of the proposed method by correlating the users and pages of a web site in high degree.This approach shows excellent performance at finding high degree of overlapped coherent biclusters from web data.

Published
2011

46. List of contributors

Author

Abohany, Amr, primary, Ali, Ahmed F., additional, AlRubaiei, Mazoon, additional, Darwish, Ashraf, additional, Dhamodharavadhani, S., additional, El-Shafeiy, Engy, additional, Jassim, Hothefa sh, additional, Juma, Mazen, additional, Kaur, Avinash, additional, Malallah, Fahad Layth, additional, Mathew, Elezabeth, additional, Nayyar, Anand, additional, Panigrahi, Chhabi Rani, additional, Pati, Bibudhendu, additional, Pattanayak, Binod Kumar, additional, Raslan, Aliaa F., additional, Rath, Mamata, additional, Rathipriya, R., additional, Safdar, Sohail, additional, Shaalan, Khaled, additional, Sharef, Baraa T., additional, Sharef, Zeyad T., additional, Singh, Parminder, additional, and Sivabalan, S., additional

Published
2020
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