Naomie Salim

Naomie Salim
Universiti Teknologi Malaysia | UTM · Office of Post Graduate Studies

About

270
Publications
92,083
Reads
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4,216
Citations
Citations since 2016
82 Research Items
3125 Citations
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20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500

Publications

Publications (270)
Article
Full-text available
Determining and modeling the possible behaviour and actions of molecules requires investigating the basic structural features and physicochemical properties that determine their behaviour during chemical, physical, biological, and environmental processes. Computational approaches such as machine learning methods are alternatives to predicting the p...
Article
Full-text available
The concept of molecular similarity has been commonly used in rational drug design, where structurally similar molecules are examined in molecular databases to retrieve functionally similar molecules. The most used conventional similarity methods used two-dimensional (2D) fingerprints to evaluate the similarity of molecules towards a target query....
Chapter
Textual data streams have been widely applied in real-world applications where online users’ expressed their opinions for online products. Mining this stream of data is a challenging task for researchers as a result of changes in data distribution, a phenomenon widely known as concept drift. Most of the existing classification methods incorporated...
Article
Recommendation systems rely on the historic data of users' purchases and their feedbacks to profile their preferences and make future recommendations. Most of these systems usually employ Collaborative Filtering (CF) models to analyze users’ ratings and infer the latent factors which represent the user and item features in k-dimensional latent spac...
Conference Paper
With the recent growth and popularity of the concept “Digital Nomads” (DN) in industry, practitioner’s outlets, and publications within the areas of information technology and tourism, this paper aims to address the question, “How academic research on Digital Nomads has developed within information systems discipline?”. To get a better understandin...
Preprint
Full-text available
Efficiency and scalability are obstacles that have not yet received a viable response from the human activity recognition research community. This paper proposes an activity recognition method. The knowledge model is in the form of ontology, the state-of-the-art in knowledge representation and reasoning. The ontology starts with probabilistic infor...
Chapter
Plagiarism, the process of copying someone else’s text or data without due recognition of the source is a serious academic offence. Many techniques have been proposed for detecting plagiarism in texts but only few techniques exist for detecting figure plagiarism. The main problem associated with existing techniques is that they are not applicable t...
Article
With the development of e-commerce platforms, user reviews have become a vital source of information to address the sparsity problems for enhancing the predictive performance of the recommendation systems (RSs). However, the traditional methods of the RSs used to model user/item latent features based on static vectors in an independent manner witho...
Article
For many years user textual reviews have been exploited to model user/item representations for enhancing the performance of the Recommender System (RS). However, the traditional methods of the RSs basically rely on the static user/item feature vectors and ignore the fine-grained user–item interactions which could affect the accuracy of the RSs. Thu...
Article
The purpose of this study was to simultaneously predict the drug release and skin permeation of Piroxicam (PX) topical films based on Chitosan (CTS), Xanthan gum (XG) and its Carboxymethyl derivatives (CMXs) as matrix systems. These films were prepared by the solvent casting method, using Tween 80 (T80) as a permeation enhancer. All of the prepared...
Article
Full-text available
Virtual screening (VS) is defined as the use of a compilation of computational procedures to grade, score and/or sort various molecular structures. The purpose of VS is to identify the molecules holding the greatest prior probabilities of activity. Many of the conventional similarity methods assume that molecular features that do not relate to the...
Conference Paper
Full-text available
Molecular 2D similarity searching is one of the most widely used techniques for ligand-based virtual screening (LBVS). This study has used the concepts of deep learning by adapted deep belief networks (DBN) and data fusion concept with DBN to enhance the molecular similarity searching of chemical compounds in LBVS. The MDDR Datasets represented by...
Article
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With the growing information on web, online movie review is becoming a significant information resource for Internet users. However, online users post thousands of movie reviews on daily basis and it is hard for them to manually summarize the reviews. Movie review mining and summarization is one of the challenging tasks in natural language processi...
Article
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In the past few years, online impulse purchase has garnered attention from researchers in various fields, especially noted in the relatively new field of social commerce (S-commerce). This interactive envronment is a full of impulse buying stimulators. However, no previous studies have been conducted to evaluate the status of the research about onl...
Preprint
Full-text available
COVID-19 epidemic in Malaysia started as a small wave of 22 cases in January 2020 through imported cases. It was followed by a bigger wave mainly from local transmissions resulting in 651 cases. The following wave saw unexpectedly three digit number of daily cases following a mass gathering urged the government to choose a more stringent measure. A...
Article
Full-text available
Over the years, the recommender systems (RS) have witnessed an increasing growth for its enormous benefits in supporting users’ needs through mapping the available products to users based on their observed interests towards items. In this setting, however, more users, items and rating data are being constantly added to the system, causing several s...
Article
Full-text available
Information and communication technology (ICT) projects for organizational development deal with market challenges, information handling, and the integration of multiple information systems (IS) in an organization. This research investigates how ICT projects (IS systems, etc.) affect the strategic, social, and human development in an organization....
Chapter
Plagiarism is to steal others’ work using their words directly or indirectly without a credit citation. Copying others’ ideas is another type of plagiarism that may occur in many areas but the most serious one is the academic plagiarism. Academic misconduct forms high-profile plagiarism cases at universities. Therefore, technical solutions are stri...
Chapter
One of the main tasks in chemoinformatics is searching for active chemical compounds in screening databases. The chemical databases can contain thousands or millions of chemical structures for screening. Therefore, there is an increasing need for computational methods that can help alleviate some challenges for saving time and cost in drug discover...
Chapter
Full-text available
According to the similar property principle, structurally similar compounds exhibit very similar properties as well as similar biological activities. Many researchers have applied this principle to discover novel drugs, thereby leading to the emergence of the prediction of the activities of compounds based on their chemical structure, since the tox...
Article
Full-text available
According to the principle of similar property, structurally similar compounds exhibit very similar properties and, also, similar biological activities. Many researchers have applied this principle to discovering novel drugs, which has led to the emergence of the chemical structure-based activity prediction. Using this technology, it becomes easier...
Conference Paper
Full-text available
Numerous organizations are providing web-based services due to the consistent increase in web development and number of available web searching tools. However, the advancements in web-based services are associated with increasing difficulties in information retrieval. Efforts are now toward reducing the Internet traffic load and the cost of user ac...
Article
Full-text available
According to the similar property principle, structurally similar compounds exhibit very similar properties as well as similar biological activities. Many researchers have applied this principle to discover novel drugs, thereby leading to the emergence of the prediction of the activities of compounds based on their chemical structure, since the tox...
Article
In field of agro economic, Crude Palm Oil (CPO) price forecasting is still heavily relies on human expertise. This paper proposes a CPO price forecasting model to assist the palm oil plantation organization in anticipating more effectively monthly fluctuations and manage the supply and demand efficiently avoid problems of price going very low. The...
Article
Full-text available
The demand to detect opinionated spam, using opinion mining applications to prevent their damaging effects on e-commerce reputations is on the rise in many business sectors globally. The existing spam detection techniques in use nowadays, only consider one or two types of spam entities such as review, reviewer, group of reviewers, and product. Besi...
Conference Paper
Full-text available
Expert finding systems assist researchers to automatically find a particular research collaborator. The problem of these systems is that they identify experts based on their documents content (system–centered perspective) and neglect the human interaction perspective. Human interaction perspective includes the factors that affect collaborator selec...
Conference Paper
Full-text available
This study proposes a model to understand how the different processes of social influence, individual needs, and social gratifications influence the online impulse buying behavior. It also examines the moderating role of impulsiveness on the relationship between the different processes of social influence and urge to buy impulsively. This study use...
Article
With the developments of e-commerce websites, user textual review has become an important source of information for improving the performance of recommendation systems, as they contain fine-grained users’ opinions that generally reflect their preference towards products. However, most of the classical recommender systems (RSs) often ignore such use...
Article
The main goal of Aspect-Based Opinion Mining is to extract product's aspects and the associated user opinions from the user text review. Although this serves as vital source information for enhancing rating prediction performance, few studies have attempted to fully utilize it for better accuracy of recommendation systems. Most of these studies typ...
Article
Teacher performance evaluation is a common method and often used for evaluates teaching quality in higher education. With the rapid growth of opinion mining technique. Aspect-based opinion mining application has been possibly employed to extraction and summarization of students' comments for teacher evaluation. However, to automated teacher evaluat...
Article
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The Text Forum Threads (TFThs) contain a large amount of Initial-Posts Replies pairs (IPR pairs) which are related to information exchange and discussion amongst the forum users with similar interests. Generally, some user replies in the discussion thread are off-topic and irrelevant. Hence, the content is of different qualities. It is important to...
Chapter
Text Forum Threads contain a huge volume of user-generated content derived from the discussion and information exchange among users who have similar interests. Often, some of the replies in a thread are completely off-topic which changes the discussion’s direction. This phenomenon impacts negatively on the user’s desire to continue with the discuss...
Chapter
Full-text available
It became obvious that it is required to reduce the high-dimensional of data in many data mining researches and applications. Virtual Screening (VS) is a set of computational methods that aim to score, rank and/or filter a set of chemical structures using one or more computational procedures to ensure those molecules with the largest prior probabil...
Article
Full-text available
Stock markets can be characterised as being complex, dynamic and chaotic environments, making the prediction of stock prices very tough. In this research work, we attempt to predict the Saudi stock price trends with regards to its earlier price history by combining a discrete wavelet transform (DWT) and a recurrent neural network (RNN). The DWT tec...
Article
Full-text available
The urge of producing new chemical compounds under eco-friendly production restriction and with minimum side effects is significantly rising, considering the difficulties that conventional methods are dealing with, from financial investments and being time consuming to multi resistance microorganisms and untreatable diseases. Rational molecular des...
Article
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The continuous growth in the size and use of the Internet is increasing the difficulties in searching for information. Reductions on the Inter-net traffic load and user access cost is therefore particular important. Clustering is an important part of web mining that involves finding natural groupings of web resources or web users. Researchers have...
Article
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The goal of abstractive summarization of multi-documents is to automatically produce a condensed version of the document text and maintain the significant information. Most of the graph-based extractive methods represent sentence as bag of words and utilize content similarity measure, which might fail to detect semantically equivalent redundant sen...
Article
Full-text available
This paper proposes a probabilistic, time efficient, data-driven method for human low and medium level activity recognition and indoor tracking. The obtained results can be applied to a probabilistic reasoner for high level activity recognition. The proposed method is tested on Opportunity, a dataset consisting of daily morning activities in a high...
Conference Paper
Text Forum Threads contain a huge volume of user-generated content derived from the discussion and information exchange among users who have similar interests. Often, some of the replies in a thread are completely off-topic which changes the discussion’s direction. This phenomenon impacts negatively on the user’s desire to continue with the discuss...
Conference Paper
Full-text available
With the application of software systems in variety critical field the complexity level of software has increased, so software reliability has become more and more difficult to guarantee. To overcome human power and time limitation, researchers have focused on a soft computing approach. Nevertheless, the new techniques - especially NN - have some p...
Conference Paper
Full-text available
E-shopping is a modern approach to buy or sell products/services and becomes so popular with growing the Internet. So, opinion mining becomes a very important concept in data mining area as researchers and business usually need to know about the overall sentiment of viewpoint of people about desired phenomena. Opinion mining is the fundamental phas...
Conference Paper
Compared to traditional materials or journals, user-generated contents are not peer-reviewed. Lack of quality control and the explosive growth of web contents make the task of finding quality information on the web especially critical. The existence of new facilities for producing web contents such as forum makes this issue more significant. This s...
Article
The workflow from data understanding to deployment of an analytical model of a data science project begins at framing the problem at hand, a task that is typically business-oriented and requires human-to-human interaction. However, the next three steps: data understanding, feature extraction, and model building that come next in the pipeline are th...
Chapter
Plagiarism is the process of copying someone else’s text or figure verbatim or without due recognition of the source. A lot of techniques have been proposed for detecting plagiarism in texts, but a few techniques exist for detecting figure plagiarism. This paper focuses on detecting plagiarism in scientific figures. Existing techniques are not appl...
Article
Full-text available
The aim of this paper was to study the correlation between crude palm oil (CPO) price, selected vegetable oil prices (such as soybean oil, coconut oil, and olive oil, rapeseed oil and sunflower oil), crude oil and the monthly exchange rate. Comparative analysis was then performed on CPO price forecasting results using the machine learning technique...
Article
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Objective: Extractive Summarization, extracts the most applicable sentences from the main document, while keeping the most vital information in the document. The Graph-based techniques have become very popular for text summarisation. This paper introduces a hybrid graph based technique for single-document extractive summarization. Methods/Statistic...
Article
Full-text available
Chemical libraries contain thousands of compounds that need screening, which increases the need for computational methods that can rank or prioritize compounds. The tools of virtual screening are widely exploited to enhance the cost effectiveness of lead drug discovery programs by ranking chemical compounds databases in decreasing probability of bi...
Article
Full-text available
With the rapid growth of social media on the web, emotional polarity computation has become a flourishing frontier in the text mining community. However, it is challenging to understand the latest trends and summarize the state or general opinions about products due to the big diversity and size of social media data and this creates the need of aut...
Article
Text web forum summarization assists users to manage the vast amount of available information online, by condensing thread contents and extracting the most relevant facts or topics. Accordingly, the text web forum has become a valuable source of knowledge. Forums contain testimonies from people who have had both positive and negative experiences. R...
Conference Paper
This paper proposes a data-driven method for constructing materials to be used in a probabilistic knowledge base for human activity recognition. The utilized dataset, challenge subset of Opportunity, is a publicly available dataset. It consists of a set of daily activities, which has been manually labeled as modes of locomotion and gestures. We app...
Article
Full-text available
Purpose Many opinion-mining systems and tools have been developed to provide users with the attitudes of people toward entities and their attributes or the overall polarities of documents. In addition, side effects are one of the critical measures used to evaluate a patient’s opinion for a particular drug. However, side effect recognition is a chal...
Article
The drug development process requires the complete evaluation and identification of the chosen substance as well as its properties. It involves extensive chemical examination to achieve the best therapeutic effects which demands huge expenditure both in terms of time and money. Computer aided molecular design (CAMD) allows the production of new sub...