1 10 5 https://repository.horizon.ac.id/files/original/893c4116256be1187cc7286d43a7264b.pdf b9f35f1f897669ae9e374169719bce30 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 10 NO. 1 (2021) JANUARY 2021 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Using Feature Selection Methods to Discover Common Users’ Preferences for Online Recommender Systems Subject The topic of the resource Recommender Systems, Feature selection, Filter, Wrapper, Intrinsic Description An account of the resource Recommender systems have taken over user’s choice to choose the items/services they want from online markets, where lots of merchandise is traded. Collaborative filtering-based recommender systems uses user opinions and preferences. Determination of commonly used attributes that influence preferences used for prediction and subsequent recommendation of unknown or new items to users is a significant objective while developing recommender engines. In conventional systems, study of user behavior to know their dis/like over items would be carried-out. In this paper, presents feature selection methods to mine such preferences through selection of high influencing attributes of the items. In machine learning, feature selection is used as a data pre-processing method but extended its use on this work to achieve two objectives; removal of redundant, uninformative features and for selecting formative, relevant features based on the response variable. The latter objective, was suggested to identify and determine the frequent and shared features that would be preferred mostly by marketplace online users as they express their preferences. The dataset used for experimentation and determination was synthetic dataset. The Jupyter Notebook™ using python was used to run the experiments. Results showed that given a number of formative features, there were those selected, with high influence to the response variable. Evidence showed that different feature selection methods resulted with different feature scores, and intrinsic method had the best overall results with 85% model accuracy. Selected features were used as frequently preferred attributes that influence users’ preferences. Creator An entity primarily responsible for making the resource Rachael Njeri Ndung’u,Gabriel Ndung’u Kamau,Geoffrey Wambugu Mariga Source A related resource from which the described resource is derived www.ijcit .com Date A point or period of time associated with an event in the lifecycle of the resource January 2021 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/2a30c8d5bec93a8deedc396b9493960f.pdf 6bd4fcd17f97152670500ae14412628c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 10 NO. 1 (2021) JANUARY 2021 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Reuse Alternatives based on the Sources of Software Assets Subject The topic of the resource Software Reusability; Software Library Build for Reuse; Reuse Alternatives Description An account of the resource Since the idea of software reuse appeared in 1968, software reuse has become a software engineering discipline. Software reuse is one of the main techniques used to enhance the productivity of software development, which it helps reducing the time, effort, and cost of developing software systems, and enhances the quality of software products. However, software reuse requires understanding, modifying, adapting and testing processes in order to be performed correctly and efficiently. This study aims to analyze and discuss the process of software reuse, identify its elements, sources and usages. The alternatives of acquiring and using software assets either normal or reusable assets are discussed. As a result of this study, four main methods are proposed in order to use the concept of reuse in the software development process. These methods are proposed based on the source of software assets regardless the types of software assets and their usages. Creator An entity primarily responsible for making the resource Anas Bassam AL-Badareen Source A related resource from which the described resource is derived www.ijcit .com Date A point or period of time associated with an event in the lifecycle of the resource January 2021 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/f0abe6a3a8b9eeaa44b1608918d86617.pdf 087df2915cc7072c81ac143b69a2f618 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 10 NO. 1 (2021) JANUARY 2021 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Open Government Data (OGD) Publication as Linked Open Data (LOD): A Survey Subject The topic of the resource Open Government Data, Linked Open Data, Transformation approaches Description An account of the resource Open Government Data (OGD) is a movement that has spread worldwide, enabling the publication of thousands of datasets on the Web, aiming to concretize transparency and citizen participatory governance. This initiative can create value by linking data describing the same phenomenon from different perspectives using the traditional Web and semantic web technologies. A framework of these technologies is linked data movement that guides the publication of data and their interconnection in a machine-readable means enabling automatic interpretation and exploitation. Nevertheless, Open Government Data publication as Linked Open Data (LOD) is not a trivial task due to several obstacles, such as data heterogeneity issues. Many works dealing with this transformation process have been published that need to be investigated thoroughly to deduce the general trends and the issues related to this field. The current work proposes a classification of existing methods dealing with OGD-LOD transformation and a synthesis study to highlight their main trends and challenges. Creator An entity primarily responsible for making the resource Khadidja Bouchelouche,Abdessamed Réda Ghomari,Leila Zemmouchi-Ghomari Source A related resource from which the described resource is derived www.ijcit .com Date A point or period of time associated with an event in the lifecycle of the resource January 2021 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/01b55a9c3670f19e58a6618971992fb9.pdf d359b8ae18a45809e8b087894e51c2ac Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 10 NO. 1 (2021) JANUARY 2021 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Review on the Methods of Evaluating the New Approaches Proposed in the Agile Context Subject The topic of the resource Agile methods; evaluation, new approach; review; software engineering Description An account of the resource In the recent years, Agile is being one of the emerging technologies adopted by numerous organizations. The Agile technology has not obtained an extensive acceptance in the software development organizations (SDOs), but it is also being broadly employed in different fields and environments. Accordingly, new approaches have been proposed by researchers and practitioners based on the Agile context, however, there is scarce and – sometimes - absence of describing the evaluation process of these approaches. Therefore, this paper reports the findings of an extensive literature search on how the new proposed approaches are being evaluated. The narrative review methodology was employed to criticize and summarize a body of literature retrieved from various scientific sources. The results reveal that there are various methods used for evaluating the proposed Agile approaches. Nevertheless, this review focuses on explaining the five common methods, which are: (1) case study, (2) survey, (3) interview, (3) focus group, and (5) expert review. Thereafter, the authors discuss the key findings and highlight directions for future researches. This study tends to help researchers and practitioners to select the suitable evaluation methods when constructing new Agile approaches. Creator An entity primarily responsible for making the resource Hamzah Alaidaros,Mazni Omar,Rohaida Romli Source A related resource from which the described resource is derived www.ijcit .com Date A point or period of time associated with an event in the lifecycle of the resource January 2021 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text https://repository.horizon.ac.id/files/original/dcfc8dd0e0a7e57a1a6c1eee1ceb85b9.pdf 6ffb18c1f5df2c0f00257b893569e832 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 10 NO. 1 (2021) JANUARY 2021 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Pharmaceutical Data Search by Decision Trees Subject The topic of the resource component; data mining; supervised learning; decision trees; segmentation,; fragmentation. Description An account of the resource The number of information concerning the drugs that any professional of health must control in practice and the transformations which they undergo, make the regulation or the administration of drugs difficult for a pregnant woman. Techniques of excavation of data were developed to lead a model of classification of data according to precise criteria. One of the most used of is the technique of the decision trees, a method making it possible to predict the membership of an individual to a class according to his characteristics; it is based primarily on the relevant attributes of the data base of the field to which it is applied. In our case classification of managed drugs or not with the pregnant woman will be done according to quarters of the pregnancy. The results of this technique will help the professionals of health to take a decision, to make a good regulation, to decrease the accidents related to the catch of inadequate drugs at the period of pregnancy with less risks for the child. Creator An entity primarily responsible for making the resource Djamila Benhaddouche Source A related resource from which the described resource is derived www.ijcit .com Date A point or period of time associated with an event in the lifecycle of the resource January 2021 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text