International Journal on Soft Computing ( IJSC )
ISSN: 2229 - 6735 [Online] ; 2229 - 7103 [Print]
https://airccse.org/journal/ijsc/ijsc.html
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Paper Submission URL - http://coneco2009.com/submissions/imagination/home.html
Shomona Gracia Jacob1 and R.Geetha Ramani2, 1Rajalakshmi Engineering College, India, 2Anna University, Chennai, India
ABSTRACT
Data mining refers to the process of retrieving knowledge by discovering novel and relative patterns from large datasets. Clustering and Classification are two distinct phases in data mining that work to provide an established, proven structure from a voluminous collection of facts. A dominant area of modern-day research in the field of medical investigations includes disease prediction and malady categorization. In this paper, our focus is to analyze clusters of patient records obtained via unsupervised clustering techniques and compare the performance of classification algorithms on the clinical data. Feature selection is a supervised method that attempts to select a subset of the predictor features based on the information gain. The Lymphography dataset comprises of 18 predictor attributes and 148 instances with the class label having four distinct values. This paper highlights the accuracy of eight clustering algorithms in detecting clusters of patient records and predictor attributes and highlights the performance of sixteen classification algorithms on the Lymphography dataset that enables the classifier to accurately perform multi-class categorization of medical data. Our work asserts the fact that the Random Tree algorithm and the Quinlan’s C4.5 algorithm give 100 percent classification accuracy with all the predictor features and also with the feature subset selected by the Fisher Filtering feature selection algorithm.. It is also stated here that the Density Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm offers increased clustering accuracy in less computation time.
KEYWORDS
Data mining, Clustering, Feature Selection, Classification, Lymphography Data
Original Source URL: https://airccse.org/journal/ijsc/papers/3312ijsc09.pdf
https://airccse.org/journal/ijsc/current2012.html
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10th International Conference on Soft Computing (SCOM 2022)
December 17 ~ 18, 2022, Dubai, UAE
https://cse2022.org/scom/index
Submission Deadline: October 23, 2022
Contact Us
scom@cse2022.org or scomconf@yahoo.com
https://cse2022.org/submission/index.php
Rehna V. J and Jeya Kumar M. K,Noorul Islam University, India
ABSTRACT
A variety of new and powerful algorithms have been developed for image compression over the years. Among them the wavelet-based image compression schemes have gained much popularity due to their overlapping nature which reduces the blocking artifacts that are common phenomena in JPEG compression and multiresolution character which leads to superior energy compaction with high quality reconstructed images. This paper provides a detailed survey on some of the popular wavelet coding techniques such as the Embedded Zerotree Wavelet (EZW) coding, Set Partitioning in Hierarchical Tree (SPIHT) coding, the Set Partitioned Embedded Block (SPECK) Coder, and the Embedded Block Coding with Optimized Truncation (EBCOT) algorithm. Other wavelet-based coding techniques like the Wavelet Difference Reduction (WDR) and the Adaptive Scanned Wavelet Difference Reduction (ASWDR) algorithms, the Space Frequency Quantization (SFQ) algorithm, the Embedded Predictive Wavelet Image Coder (EPWIC), Compression with Reversible Embedded Wavelet (CREW), the Stack-Run (SR) coding and the recent Geometric Wavelet (GW) coding are also discussed. Based on the review, recommendations and discussions are presented for algorithm development and implementation.
KEYWORDS
Embedded Zerotree Wavelet, multi- resolution, Space Frequency Quantization, Stack-Run coding, Wavelet Difference Reduction.
Original Source URL: https://airccse.org/journal/ijsc/papers/3312ijsc08.pdf
https://airccse.org/journal/ijsc/current2012.html
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Call For Papers...!!!
#DeepLearning #robot #conference #computerscience #machinelearning
International Conference on Computer Science and Machine Learning (CSML 2023)
January 02 ~ 03, 2023, Zurich, Switzerland
https://aisca2023.org/csml/index
Submission Deadline : October 15, 2022
Contact Us: Here's where you can reach us : csml@aisca2023.org or csmlconf@yahoo.com
Submission link: https://aisca2023.org/submission/index.php
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International Journal on Soft Computing ( IJSC )
ISSN: 2229 - 6735 [Online] ; 2229 - 7103 [Print]
https://airccse.org/journal/ijsc/ijsc.html
Submission Deadline: October 15, 2022
Wikicfp: http://wikicfp.com/cfp/servlet/event.showcfp?eventid=145683
Contact Us: ijscjournal@yahoo.com or ijsc@aircconline.com
Paper Submission URL - http://coneco2009.com/submissions/imagination/home.html
#softcomputing #chaostheory #bioinformatics #robotics #machinelearning #FuzzyLogic
Vishnuvardhan Mannava1 and T. Ramesh2, 1K L University, India, 2National Institute of Technology, Warangal, India
ABSTRACT
Current autonomic computing systems are ad hoc solutions that are designed and implemented from the scratch. When designing software, in most cases two or more patterns are to be composed to solve a bigger problem. A composite design patterns shows a synergy that makes the composition more than just the sum of its parts which leads to ready-made software architectures. As far as we know, there are no studies on composition of design patterns for autonomic computing domain. In this paper we propose pattern-oriented software architecture for self-optimization in autonomic computing system using design patterns composition and multi objective evolutionary algorithms that software designers and/or programmers can exploit to drive their work. Main objective of the system is to reduce the load in the server by distributing the population to clients. We used Case Based Reasoning, Database Access, and Master Slave design patterns. We evaluate the effectiveness of our architecture with and without design patterns compositions. The use of composite design patterns in the architecture and quantitative measurements are presented. A simple UML class diagram is used to describe the architecture.
KEYWORDS
Design Patterns, Distributed System, Genetic Algorithms, Database Access Pattern and Autonomic Computing System, Software Architecture.
Original Source URL: https://airccse.org/journal/ijsc/papers/3312ijsc07.pdf
https://airccse.org/journal/ijsc/current2012.html
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Submission System: http://coneco2009.com/submissions/imagination/home.html
#DesignPatterns #distributedsystems #geneticalgorithm #automaticcomputing #softwarearchitecture
International Journal on Soft Computing (IJSC)
ISSN: 2229 - 6735 [Online]; 2229 - 7103 [Print]
https://airccse.org/journal/ijsc/ijsc.html
Submission Deadline: October 08, 2022
Contact Us
Here's where you can reach us: ijscjournal@yahoo.com or ijsc@aircconline.com
Submission System
http://coneco2009.com/submissions/imagination/home.html
#softcomputing #neuralnetworks #FuzzyLogic #wavelet #nanotechnology #Machinelearning #chaostheory #bioinformatics
International Journal on Soft Computing (IJSC) ISSN: 2229 - 6735 [Online]; 2229 - 7103 [Print] https://airccse.org/journal/ijsc/ijsc.html He...
