
Bhawana MathurSri Balaji College of Engineering and Technology · Master of Computer Application
Bhawana Mathur
Doctor of Engineering
Associate Professor , Department of Master of Computer Application
About
17
Publications
103,458
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Citations
Introduction
Bhawana Mathur ,Associate Professor , Dept. of MCA at Sri Balaji College of Engineering Technology, Jaipur, Rajasthan, India.She has completed her MCA. She has published 12 papers in international and National Journals. She has published 5 papers in Proceedings of International Conference.
Additional affiliations
February 2014 - February 2016
Publications
Publications (17)
Routing in sensor networks is complicated due to several issues ranging from security to energy constraints of wireless sensor nodes. This distinguishes them from contemporary wireless ad hoc networks. Adversaries can launch DoS attacks by injecting false data reports via compromised nodes. Previously a Hill Climbing key dissemination filtering sch...
Rainwater harvesting is the accumulation and deposition of rainwater for reuse before it
reaches theaquifer. Rainwater harvesting provides an independent water supply during
regional water restrictions and in developed countries is often used to supplement the main
supply. It provides water when there is a drought, prevents flooding of low-lying ar...
Clustering is a process of keeping similar data into groups. Clustering is an unsupervised learning technique as every other problem of this kind; it deals with finding a structure in a collection of unlabeled data. Many types of clustering methods are— hierarchical, partitioning, density –based, model-based, grid –based, and soft-computing methods...
Animals are able to produce extraordinarily diverse vocal signals. Advertisement calls characteristic patterns are highly species specific and have great potential to reveal these types of controversial cases. In spite of all these problems specifically for the identification of anuran species, the bioacoustics analysis of advertisement calls can b...
The model has been developed by classification methods such as Chidambar and Kemerar Matrix Suit, and by LoC Metric, ADT, Decision Table, Hyper Pipe, and Naive Bayes. Results depend on 05 open sources Java software with diverse fields such as databases, formats, and protocols, games and entertainment, multimedia, science and engineering. These have...
The model has been developed by classification methods such as Chidambar and Kemerar Matrix Suit, and by LoC Metric, ADT, Decision Table, Hyper Pipe, and Naive Bayes. Results depend on 05 open sources Java software with diverse fields such as databases, formats, and protocols, games and entertainment, multimedia, science and engineering. These have...
Precise software effort estimation is a vital sector of the software procedure. An excess as well as lessening software effort can prompt to unsafe concludes. Additionally, software venture supervisors need toward create evaluations of exactly how abundant a software development has been accepted cost. The predominant price of some software is the...
Source code along with metric mining is utilized
toward effectively help by programming excellence assessment. This
research exhibits a data mining method that is combines clustering
Java classes, along with categorizing mined groups, with a specific
end goal to survey interior program excellence. Researcher utilizes
Java classes, for example, obje...
The k-means strategy is a generally utilized clustering procedure that tries to minimize the average squared distance between focuses on a similar group. Despite the fact that it offers no exactness ensures, its effortlessness, as well as speed, are extremely engaging. Open source products/projects focusing on the same or comparable applications ar...
Precise software effort estimation is a vital sector of the software procedure. An excess as well as lessening software effort can prompt to unsafe concludes. Additionally, software venture supervisors need toward create evaluations of exactly how abundant a software development has been accepted cost. The predominant price of some software is the...
More information is collected from a population. The purpose of the research is that the covariance matrix or correlation matrix has been detected by principal component analysis. These major component scores have been used in further investigation. This work has been done by the Principal Component Analysis (PCA) and the calculation of Change- pro...
Lots of Organizations before they are setup survey the maintainability of programming frameworks. To give quality program design there exists a critical strategy called Object-Oriented Framework. Object–Oriented estimations might be utilized to study the judgment skills suite of a class diagram's structure particularly programming valuations and ho...
Software maintenance is a noteworthy feature of software development life cycle, hence earlier approximation of work for maintainability plays a vibrant role. The C sharp small programs are programmed in console applications like a reverse number & check if it a palindrome, check whether given string is a palindrome or not, and so many. The 40 prog...
As a key early artifact in the development of Object Oriented software, the superiority of class diagrams is crucial for all later design work and could be a major determinant for the quality of the software product that is finally carried. Quantitative measurement instruments are useful to assess class diagram quality in an objective way, thus avo...
Researcher collect data through Parent Teacher Scale Involvement psychology Education Test in the form of Questionnaire. Researcher collect random sample of 28 students' data from School, Jaipur as a random selection of Students of Class 1stto 10 th Class. To make cluster, Find Distance point from the cluster, Find Minimum distance from each point...
Improving student's academic performance is not an easy task for the academic community of higher learning. Descriptive statistics is the discipline of quantitatively describing the main features of a collection of information, or the quantitative description itself. We will be collecting the marks of 100 Students as population and here only marks...
Questions
Questions (27)
Hello Sir,
Kindly tell me about MMRE .How to calculate it by WEKA or which software?
Hello Sir/Ma'am,
Can we calculate the AUC using the confusion matrix ? If yes is it possible through Which tool and Techniques?
Kindly tell me about WEKA Tool , Some time my classification technique are enabled , few of them disabled why? At a time all techniques are not working . Why. Kindly explain.
Hi,
I'm new to weka, and trying to create a classifier where I can optimize the values using Genetic algorithm.
Please can anyone send me either code samples or websites that
would clear this issue up...
Regards
Hello Expert ,
Kindly explain importance of t -test in statistics.When and in which situation it is used ?
When I Convert Excel data file to CSV File and open it in WEKA 3.7.4 Then dialogue box appear and show-------
Not recognized as csv data file Attributes names are not unique cause '0'
Ok and converter .What will next step?
- All version 1 and version 2 of open source softwrae of all input instance Weight sum amd precision value getting same . Why?
- I take 22 different UML Class diagrams (sample)of 2 different variables(Size Metrics and Structure Complexity Metrics) and first one(Size Metrics) contain 4 independent varaibles(Response for a Class (RFC ),Number of Attributes (NOA),Total Number of Methods (NOM),(WMC) and second one (Structure Complexity Metrics)contains 7 independent variables (Number of Children (NOC),(NC),Number of Relation,NGen,MaxDIT,NAggH,NGenH.In this situation which statistacally test/Soft Computing techniques can be applied in this situation ? why ?
May it is possible value of Root Relative Error is 105.8073 %. If we want to cross check then how to find out accurate value of Root Relative Error.When data sets is missing.
What is purpose of Root Relative Error .What is it indicate ?
Hello Experts,
- Can we propose clustering methodology to provide a general but illuminating view of a software system that may lead engineers to useful conclusions concerning its maintainability?
- Can we develop a methodology based on the K-Means Clustering data mining Technique which has been implemented on UIMS and QUES class’s data with set of selected metrices?
Hello Experts,
- Can we use K Means Clustering for predicting Software Maintainability at design level?
Hello Sir,
Kindly explain your paper "On the application of Information Entropy Based -Multi -Attribute Decision in UML Class Diagram Metrics "in Brief.
I have some doubts in paper .Kindly solve my doubts becuse I want to further research in this area.
- What is phenomonen of Entropy Based -Multi -Attribute Decision?
- On what basis and How to derive decision matrix Formula?
- How and why you calculate attribute value of Zi ?
- What is process to calculate attribute value of Zi ?
- In Table 5 Comaparative Analysis How to come value of Understandability ,Modifiability and Maintainability as well as Zhou's metric ,Yi's metric, and this paper's metric?
Respected Sir/Madam,
Kindly tell me, What is difference between UIMS and QUES?
Hello Sir,
What is difference between software defects,faults and Change proneness?
Respected Sir/Madam,
I want to know about:
Data MIning Classification Techniquesn is better then Clustering and why?
Respected Sir/Madam,
Greeting of Day!
Kindly suggest me any techniques and method to calculate Maintainance Time of diffetrent Size Metrics and Structure Complexity during UML Class diagram .






























