Browsing by Author "Jaoua, Ali"
Now showing items 21-35 of 35
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MobiFace: A Mobile Application for Faceted Search over Hidden Web Databases
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)A large number of web databases are hidden behind form-based interfaces (consisting of interface components such as textboxes, drop-down boxes, etc) for users to enter their desired values in a search query. Form-based ... -
Mobile app conceptual browser: Online marketplaces information extraction
( IEEE Computer Society , 2016 , Conference Paper)Online marketplaces are e-commerce websites where thousands of products are provided by multiple third parties. There are dozens of these differently structured marketplaces that need to be visited by the end users to reach ... -
MOBILE APP FOR HIDDEN DATA ANALYTICS OF ONLINE MARKETPLACE SYSTEMS
(2016 , Master Thesis)In this project, an extensive analysis and evaluation of the existing e-marketplaces is performed. The aim of this analysis is to improve the experience of end-users through an Android application that is capable of ... -
A multi-level conceptual data reduction approach based on the Lukasiewicz implication
( Elsevier Science Inc , 2003 , Article)Starting from fuzzy binary data represented as tables in the fuzzy relational database, in this paper, we use fuzzy formal concept analysis to reduce the tables size to only keep the minimal rows in each table, without ... -
Named Entity Disambiguation using Hierarchical Text Categorization
( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)Named entity extraction is an important step in natural language processing. It aims at finding the entities which are present in text such as organizations, places or persons. Named entities extraction is of a paramount ... -
Optimized Processing of a Batch of Aggregate Queries over Hidden Databases
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)A tremendous amount of data is concealed behind form-based interfaces that communicate any user query to their data store to deliver query answer. These interfaces limit the number of retrieved search results to the top-k ... -
Prediction of date and ideology of old Islamic documents
( American Scientific Publishers , 2017 , Article)Prediction of date and Ideology (aka Islamic school or Madhab) is a very important research field. It allows scholars and researchers to find out more about what is specific to a particular period of time and what the main ... -
Preface
( Elsevier , 2003 , Article)In recent years the involvement of Information Technology in business, governments, and education has increased dramatically. More and more research works have been conducted in different areas of Information Technology such ... -
Ranking disagreement between graders: Application to ranking hadith scholars
( American Scientific Publishers , 2017 , Article)Ranking raters based on their agreement or disagreement is a very active research field with many applications. It has been applied for instance for ranking automatic essay grading algorithms based on their agreement with ... -
Sentiment Analysis in Comments Associated to News Articles: Application to Al Jazeera Comments
( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)Sentiment analysis is a very important research task that aims at understanding the general sentiment of a specific community or group of people. Sentiment analysis of Arabic content is still in its early development stages. ... -
Sentiment analysis of islamic news data using hyper-concepts
( American Scientific Publishers , 2017 , Article)Sentiment Analysis is the extraction of writers feeling from a written manuscript. It aims at predicting the sentiment of a particular text using automated means. There are two main ways to make predictions: (1) lexicon-based ... -
STOCK MARKET FORECASTING: AN APPLICATION OF LONG SHORT TERM MEMORY (LSTM) RECURRENT NEURAL NETWORK
(2018 , Professional Masters Project)Predicting stock market prices is regarded as a challenging task of financial time series, due to its chaotic, non-linear, non-stationary and dynamic nature. In this project we address the problem of stock market forecasting ... -
Uncertain training data set conceptual reduction: A machine learning perspective
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Knowledge discovery from data is a challenging problem that has significant importance in many different fields such as biology, economics and social sciences. Real-world data is incomplete and ambiguous; moreover, its ... -
Using conceptual reasoning for inconsistencies detection in islamic advisory opinion (Fatwas)
( IEEE Computer Society , 2016 , Conference Paper)The Islamic websites play an important role in disseminating Islamic knowledge and information about Islamic ruling. Their number and the content they provide is continuously increasing which require in-depth investigations ... -
What is a fault? and why does it matter?
( Springer London , 2017 , Article)Faults are an important concept in the study of system dependability, and most approaches to dependability can be characterized by the way in which they deal with faults (e.g., fault avoidance, fault removal, fault tolerance, ...
