M.Phil / MS
Permanent URI for this collectionhttps://repository.cuilahore.edu.pk/handle/123456789/36
This collection archives the complete set of theses produced by students of the COMSATS University Islamabad, Lahore Campus.
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Item Online Trust in Teen Communities(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2017) Alia Samreen; FA15-RCS-015; LHR TP 6833; Dr. Adnan AhmadConsistently, individuals from everywhere throughout the world connect, share and exchange data over Internet. We communicate online to share individual data, discover answers to inquiries, direct money related exchanges, play social recreations and keep up proficient and individual connections. “Online Social Network (OSN) is a set of personal contacts through which the people maintains their social identity and receive emotional support, material aid, services, information and new social contacts” [1] like Facebook, Orkut etc. Online Social Network gives a virtual situation where people can share their stories, pictures, recordings, and take part in chat rooms for online chatting with their friends and associates. In the last decade, Online Social Networks (OSN) have expanded ubiquitously. More people use OSN to share their interests and make associations, [1] likewise, OSN help people to overcome geographical impediments. Despite of its advantages OSN has also raised some privacy concerns for users. Many people have lost their jobs [86], lives [89], become bullied [4], hacked [4] etc. because of privacy issues of OSN. The situation is even worst for teens who get emotionally, socially and physically compromised due to interactions over online social networks. This is because of the fragile psychology of teens as they are more inclined to pulls of fascination [4,38], emotionally immature [3], more inclined to sensual offers [3,5] and easily grasped by fraudulent [3]. Thus, there is a need of an application that can evaluate, maintain and exhibit the community trust over acquaintances for teens. Trust is an essential part of connections in online social networks whether it is for security, deciding information access, or recommender systems [8]. In this thesis, the student has analyzed issues of teenagers and the factors that affect the formation of end user trust in online environments. After exploring the factors, the student has proposed a framework portraying various stages and their elements important to build trust among people. On the basis of framework, a reputation model is proposed, which xi ensures that a stranger or an acquaintance is trustworthy or not. Our proposed method basically judges people on the basis of their reputation, trustworthiness, honesty, benevolence, integrity, compatibility, confidence etc. The method is also implemented using dot net framework and SQL server. The student generates a new app on Facebook App. Then, the student gets Facebook App Key and App Secret Key. After that, in dot net framework the student gets built in Facebook Configuration Dll. Then, the student creates an instance of Facebook Dll Class and set its App Key and App Secret Key. Then, ask the User Current Session Token Context to be used by Facebook. Then, it will check for Permissions assigned to us by the User on FaceBook. The application was also tested and evaluated by teens on the basis of usefulness, ease of use, ease of learning, satisfaction, and system capabilities. The questionnaire was validated through inter-item and inter-variable correlation which appeared to be sufficiently significant. Moreover, Cronbach’s Alpha test was carried out for internal consistency which also appears to be statistically significant. The average users’ response over the variable and their items suggests that teens are satisfied with the proposed approach and it really helped them to identify trustworthy and well reputed friendsItem A Methodological Exploration of BPM Community(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2017) Saman R. Abdi; FA15-RCS-007; LHR TP 6831; Dr. Abid SohailThe study is motivated to explore the collaboration between the authors, the patterns which are being used by the authors and the areas on which the authors are working. The end product of the research is a set of generic guidelines for the field of business process management. Business process management conference, which was one of the most famous conference is been used to develop the dataset for the study. Business process management conference started since 2003 so the papers since 2003 till 2016 were collected to create the dataset. The collaboration of authors is been studied by applying certain filters over the raw data of business process management conference. The research pattern of different authors was been studied individually from each paper and later they were all combined by identifying the common or similar aspects of the processes to form a set of frameworks. The study has created a generic set of five frameworks. Each for a specific domain of business process management i.e. business process similarity, business process abstraction, business process model redesign, business process monitoring, and business process mining. The study also provides some key facts about the most collaborative authors and the domains on which the authors or the research community is mainly focusing.Item A Structural Variants Process Models Collection for Process Similarities Evaluations(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2017) Rimsha Anam; FA15-RCS-017; LHR TP 6822; Dr. Abid SohailOrganizations having years of involvement in business process management, regularly keep up business process model repository containing hundreds or even a large number of process models. The process models in their repositories typically evolve from different sources and are created by various stakeholders. A new process models may be by expanding or refining existing models. Therefore, process models have a tendency to collect duplicate process models which, if left unconsolidated, may develop autonomously and cause irregularities. Similarly, it frequently happens that many organizations manage the business process models that have similar objectives but involve different business unit which may differentiate one another. The similarity (Correspondence) of process models can be explored through label, structure and behavior. This study is mainly focusing structural similarity measurement. The variations in the process model though structural correspondences have already been proposed in literature. But, majority of them are conceptual i.e. not providing the implication and verification on process model collections. Moreover, the previous studies on structural changes are not yet defining any proper classification for the structural variations. The first contribution of this study is the provision process model design classification through structural variations. We have tried to explore the availability of BPMN dataset and found some existences, one of which is SAP business process repository but, that was not available publically. So, as a contribution the complete repository was created with 600 different variants of 150 original models. The original models were taken from a verified source of our research group available dataset. Furthermore, the regenerated models were once verified from domain experts and finally included. The rigor evaluations were performed on dataset both manually and automated.Item Developing an Urdu Lemmatize(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2017) Muntaha Iqbal; FA15-RCS-010; LHR TP 6821Lemmatization is a process of obtaining root form of a given word. Lemmatizer is an important part of Natural Language Processing (NLP) toolkit and is essential for many NLP systems e.g. Information Retrieval (IR), plagiarism and text reuse detection, Information Extraction (IE), Machine Translation (MT), Word Sense Disambiguation (WSD) etc. Urdu is a widely spoken language in the world, but very less work has been done on developing basic NLP tools for this language, one of them is Urdu lemmatizer. Since Urdu is a morphologically rich language and has words with many inflectional and derivational forms, development of an efficient lemmatizer is a challenging task and it will be useful for many Urdu NLP applications. This research work aims to develop an efficient lemmatizer for Urdu language. For this purpose, we explored two main approaches: (1) dictionary lookup approach and (2) rule based approach. Note that we also tried combinations of these two approaches. For the first approach, we build a large dictionary of 131,539 entries. In this dictionary, 3,026 are exceptional words, 22,181 are multi-word expression, and 18,267 are Named Entities (NEs) for person and 79,418 are Named Entities (NEs) for locations. Remaining 8,647 are variants of most frequent 5,000 Urdu language words. For the second approach, we extracted a total of 215 rules (67 are prefix, 128 are postfixes) from raw Urdu text. We also developed a benchmark test dataset of 1,000 Urdu words to evaluate our proposed approaches for Urdu lemmatization task. The proposed lemmatizer was evaluated using six different approaches: (1) Dictionary Lookup Approach (DLA), (2) Rule Based Approach (RBA), (3) Dictionary (DIC) + Exceptional Word List (EWL) Approach, (4) Rule Based + Exceptional Word List Approach, (5) Rule Based + Final Dictionary Approach and (6) Final Dictionary + Rule Based Approach. Evaluation was carried out using Accuracy measure. Results showed that Dictionary + Rule Based Approach gave highest Accuracy of 82.9%. We also developed a prototype system, which takes an Urdu word as input and outputs its lemma