Saba Bashir

Saba Bashir
National University of Sciences and Technology | NUST · Department of Computer Engineering

MS Computer Software Engineering

About

41
Publications
22,897
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1,185
Citations

Publications

Publications (41)
Article
Full-text available
Mobile communication has become a dominant medium of communication over the past two decades. New technologies and competitors are emerging rapidly and churn prediction has become a great concern for telecom companies. A customer churn prediction model can provide the accurate identification of potential churners so that a retention solution may be...
Chapter
Diabetes mellitus has been increasing to become one of the major and global problems. Studies reveal that complications associated with diabetes can be reduced by the viable management of Blood Glucose Levels (BGLs). Objective: Two problems related to glucose-insulin regulation are discussed here. Firstly, the prior prediction of blood glucose to o...
Article
Full-text available
Online social networks have become extremely popular with the ever-increasing reachability of internet to the common person. There are millions of tweets, Facebook messages, and product reviews posted every day. Such huge amount of data presents an opportunity to analyze the sentiment of masses in order to facilitate the decision making for the bet...
Chapter
Online user generated reviews are now a vital source of product evaluation to both consumer and retailer. There is a need of knowing the factors, generally affecting the helpfulness of reviews and how to identify them. Various studies and researches have been conducted for finding the helpfulness value of online reviews in past recent years. In thi...
Chapter
Now a day people are widely using smart phones with lot of different applications. Smartphones are mostly using android as platform. It offers a huge amount of information to its users. It allows user to download and install applications free from any source either it is verified or not. This is really a threat for android user as lot of open sourc...
Chapter
Online Social Networks (OSN) like Twitter, Facebook, LinkedIn, Myspace, YouTube and Digg are getting very popular nowadays. They have become a part of everybody’s life as people use to share content like their opinions, feelings with other people. OSNs have also created some serious threats as some people steal personal information of OSN users, si...
Chapter
As we know people are using lot of social business and many other platforms for different purposes by using internet. Huge amount of data is transferred over networks. Internet has made communication and business online very easy and fast. People are using internet world wide for different purposes. Where internet technology is used for positive pu...
Conference Paper
Researchers have widely used statistical and machine learning techniques to construct prediction models in several domains such as prediction of software faults, spam detection, disease diagnosis and financial fraud identification. The prediction of patients prone to lung cancer can help doctors in their decision making regarding their treatments....
Conference Paper
Nowadays people are widely using smart phones with lots of different applications. Among other operating systems (OS), a large number of smartphones are using Android operating system as the base platform. Android offers a huge amount of information to its users. It allows user to download and install applications free from any source either it is...
Conference Paper
Thanks to the recent advancements in technology, Internet has made communication and online business stress-free and fast. Easy and low cost internet access has enabled a number of people to frequently utilize it for social business and for many other similar platforms. Huge amount of data is transferred over the networks as masses are using intern...
Conference Paper
Online Social Networks (OSN) like Twitter, Facebook, LinkedIn, Myspace, YouTube and Digg are getting very popular nowadays. They have become a part of everybody's life as people use to share content like their opinions , feelings with other people. OSNs have also created some serious threats as some people steal personal information of OSN users, s...
Article
Full-text available
Disease diagnosis at early stages can enable the physicians to overcome the complications and treat them properly. The diagnosis method plays an important role in disease diagnosis and accuracy of its treatment. A diagnosis expert system can help a great deal in identifying those diseases and describing methods of treatment to be carried out; takin...
Article
Full-text available
Sentiment analysis is an active research area in today’s era due to the abundance of opinionated data present on online social networks. Semantic detection is a sub-category of sentiment analysis which deals with the identification of sentiment orientation in any text. Many sentiment applications rely on lexicons to supply features to a model. Vari...
Article
Full-text available
An immense amount of data is available with the advent of social media in the last decade. This data can be used for sentiment analysis and decision making. The data present on blogs, news/review sites, social networks, etc. is so enormous that manual labeling is not feasible and an automatic approach is required for its analysis. The sentiment of...
Article
Full-text available
Sentiment analysis has emerged as an active research field due to the rapid growth of user-generated content on the Internet. This research area analyzes the opinions and attitudes of masses toward products, movies, topics, individuals, and services. Various machine learning and text mining algorithms have been used for sentiment analysis and class...
Article
Full-text available
Service oriented architecture is a glue that allows web applications to work in collaboration. It has become a driving force for the service-oriented computing (SOC) paradigm. In heterogeneous environments the SOC paradigm uses web services as the basic building block to support low costs as well as easy and rapid composition of distributed applica...
Article
Sentiment analysis or opinion mining is an imperative research area of natural language processing. It is used to determine the writer's attitude or speaker's opinion towards a particular person, product or topic. Polarity or subjectivity classification is the process of categorizing a piece of text into positive or negative classes. In recent year...
Article
Full-text available
Sentiment analysis involves the detection of sentiment content of text using natural language processing. Natural language processing is a very challenging task due to syntactic ambiguities, named entity recognition, use of slangs, jargons, sarcasm, abbreviations and contextual sensitivity. Sentiment analysis can be performed using supervised as we...
Article
Accuracy plays a vital role in the medical field as it concerns with the life of an individual. Extensive research has been conducted on disease classification and prediction using machine learning techniques. However, there is no agreement on which classifier produces the best results. Ensemble of classifiers has been proved to be an effective way...
Article
Full-text available
Supervised learning has attracted much attention in recent years. As a consequence, many of the state-of-the-art algorithms are domain dependent as they require a labeled training corpus to learn the domain features. This requires the availability of labeled corpora which is a cumbersome task in itself. However, for text sentiment detection SentiWo...
Article
Full-text available
Sentiment analysis and polarity detection is a type of text classification where natural language opinion is analyzed in order to classify it into either positive or negative categories. Classification of text into sentiment labels is a very difficult task as opinions expressed in natural language may contain abbreviations, slangs, sarcasm, irony a...
Article
Full-text available
The availability of large amount of medical data leads to the need of intelligent disease prediction and analysis tools to extract hidden information. Large number of data mining and statistical analysis tools are used for disease prediction. Single data mining techniques show acceptable level of accuracy for heart disease diagnosis. This research...
Article
Full-text available
Conventional clinical decision support systems are based on individual classifiers or simple combination of these classifiers which tend to show moderate performance. This research paper presents a novel classifier ensemble framework based on enhanced bagging approach with multi-objective weighted voting scheme for prediction and analysis of heart...
Conference Paper
Full-text available
Conventional techniques for clinical decision support systems are based on a single classifier or simple combination of these classifiers used for disease diagnosis and prediction. Recently much attention has been paid on improving the performance of disease prediction by using ensemble-based methods. In this paper, we use multiple ensemble classif...
Conference Paper
Full-text available
Large amount of medical data leads to the need of intelligent data mining tools in order to extract useful knowledge. Researchers have been using several statistical analysis and data mining techniques to improve the disease diagnosis accuracy in medical healthcare. Heart disease is considered as the leading cause of deaths worldwide over the past...
Article
Full-text available
The medical diagnosis process can be interpreted as a decision making process during which the physician induces the diagnosis of a new and unknown case from an available set of clinical data and using his/her clinical experience. This process can be computerized in order to present medical diagnostic procedures in a rational, objective, accurate a...
Article
Full-text available
Ensemble classifiers provide an efficient method to deal with diverse set of applications in various domains. The proposed research signifies the effectiveness of ensemble classifier for computer-aided breast cancer diagnosis. A novel combination of five heterogeneous classifiers namely Naïve Bayes, Decision tree using Gini index, Decision tree usi...
Article
Full-text available
Twitter has become one of the most popular micro-blogging platform recently. Millions of users can share their thoughts and opinions about different aspects and events on the micro-blogging platform. Therefore, Twitter is considered as a rich source of information for decision making and sentiment analysis. Sentiment analysis refers to a classifica...
Article
Full-text available
This research paper has presented a data hiding technique for binary document images. Entropy measure method is used to minimize the perceptual distortion due to embedding. The watermark extraction is a blind system because neither the original image nor the watermark is required for extraction. The document image is similar to any other image. The...
Article
Full-text available
Object extraction is very useful due to great momentum in computer technology and especially in the field of image processing. It is used in many object related image processing applications such as object recognition. Printed data becomes discolored with the passage of time and graphical data gets deteriorated. Recognition and then redrawing throu...
Article
Full-text available
Seed filling is basic technique of image morphology. The goal of the seed filling operations is to find the seed point and fill the object contours starting from that seed point. In image processing area, the main and most important problem is region filling. This technique is used for image analysis. There are many algorithms for filling but the p...
Conference Paper
SNOW family is static in nature and it is based on static feedback. It is used to encrypt data from user input form to a binary form for secure communication. All the existing versions of snow family are affected by guess and determine attacks. Modified version of SNOW 2.0 shows more resistance against guess and determine attacks, but there are sti...
Article
Full-text available
The use of web services has dominated software industry. Existing technologies of web services are extended to give value added customized services to customers through composition. Automated web service composition is a very challenging task. This paper proposed the solution of existing problems and proposed a technique by combination of interface...
Article
Full-text available
Recent advancement in web services plays an important role in business to business and business to consumer interaction. Discovery mechanism is not only used to find a suitable service but also provides collaboration between service providers and consumers by using standard protocols. A static web service discovery mechanism is not only time consum...

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Projects

Projects (4)
Project
create a new model based on deep learning and improve all the existing churner results, based on the new deep learning model
Project
An IntelliHealth application based on combination of classifiers which has significant positive impact on the use of medical decision support system.