{"id":17760,"date":"2022-05-17T08:20:42","date_gmt":"2022-05-17T08:20:42","guid":{"rendered":"https:\/\/bigdata.utm.my\/?page_id=17760"},"modified":"2022-10-05T04:28:35","modified_gmt":"2022-10-05T04:28:35","slug":"adsci2022","status":"publish","type":"page","link":"https:\/\/research.utm.my\/bdc\/adsci2022\/","title":{"rendered":"International Conference on Applied Data Science and Computational Intelligence 2022 (ADSCI2022)"},"content":{"rendered":"

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International Conference on Applied Data Science & Computational Intelligence 2022<\/h2>\n

ADSCI 2022<\/h1>\n

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September 23-24, 2022
Ho Chi Minh, Vietnam<\/p>\n

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Emerging Trends in Data Science and Computational Intelligence<\/p>\n

[\/et_pb_text][et_pb_button button_url=”https:\/\/research.utm.my\/wp-content\/uploads\/sites\/32\/2022\/09\/1_PROGRAMME-BOOK-JOINT-CONFERENCE.pdf” url_new_window=”on” button_text=”Program Book” button_alignment=”center” _builder_version=”4.18.0″ _module_preset=”default” custom_button=”on” button_bg_color=”RGBA(255,255,255,0)” button_font=”Abel||||||||” button_icon=”||fa||900″ button_on_hover=”off” background_layout=”dark” button_text_shadow_style=”preset1″ box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_button][et_pb_divider show_divider=”off” _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16.1″ _module_preset=”default” custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_row column_structure=”1_6,1_6,1_6,1_6,1_6,1_6″ _builder_version=”4.16.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_6″ 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button_alignment=”right” _builder_version=”4.18.0″ _module_preset=”default” custom_button=”on” button_text_size=”10px” button_text_color=”#FFFFFF” button_bg_color=”#e0514a” button_border_color=”RGBA(255,255,255,0)” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”award” module_id=”awards” _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”ADSCI 2022 Best Presenter Award” image=”https:\/\/research.utm.my\/wp-content\/uploads\/sites\/32\/2022\/09\/ADSCI2022_BestPresenter_-1024×1024.jpg” _builder_version=”4.18.0″ _module_preset=”default” header_font=”Arimo|700|||||||” body_font=”Arimo||||||||” body_link_font=”Arimo||||||||” body_link_text_color=”#0C71C3″ 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Congratulations to Ts Hidayah Binti Rahmalan for receiving the Best Presenter Award at International Conference on Applied Data Science & Computational Intelligence 2022 (ADSCI 2022) on 24th Sept 2022.
Visit UTM BDC’s FB<\/a><\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”ADSCI 2022 Best Paper Award” image=”https:\/\/research.utm.my\/wp-content\/uploads\/sites\/32\/2022\/09\/ADSCI2022_BestPaper-1024×1024.jpg” _builder_version=”4.18.0″ _module_preset=”default” header_font=”Arimo|700|||||||” body_font=”Arimo||||||||” body_link_font=”Arimo||||||||” body_link_text_color=”#0C71C3″ global_colors_info=”{}”]<\/p>\n

Congratulations to ADSCI 2022 Best Paper Award winner
Hong-Zhou Zhao, Hao-Min Hou, Li Wang and Jin-Can Xu
Visit UTM BDC’s FB<\/a><\/p>\n

 <\/p>\n

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About ADSCI 2022<\/strong><\/h3>\n

The first International Conference on Applied Data Science and Computational Intelligence (ADSCI 2022) provides an opportunity for the researchers, engineers, developers, and practitioners from academia and industry to discuss and address the experimental, theoretical work and methods in solving problems related to data science and Computational Intelligence. ADSCI 2022 provides a platform for researchers to share their experience and exchange their ideas in the field of Data Science and Computational Intelligence. ADSCI 2022 is also useful for professionals working in data science, machine learning, artificial intelligence, IoT and cyber security. Accepted papers that are presented at the conference will be published in the Scopus Indexed Conference Proceeding.<\/p>\n

[\/et_pb_text][et_pb_button button_url=”https:\/\/research.utm.my\/wp-content\/uploads\/sites\/32\/2022\/09\/1_PROGRAMME-BOOK-JOINT-CONFERENCE.pdf” button_text=”ADSCI 2022 Program Book” button_alignment=”center” disabled_on=”off|off|off” _builder_version=”4.18.0″ _module_preset=”default” custom_button=”on” button_text_color=”#E02B20″ button_bg_color=”#FFFFFF” box_shadow_style=”preset2″ global_colors_info=”{}”][\/et_pb_button][et_pb_button button_url=”#top” button_text=”Back to top” button_alignment=”right” _builder_version=”4.18.0″ _module_preset=”default” custom_button=”on” button_text_size=”10px” button_text_color=”#FFFFFF” button_bg_color=”#e0514a” button_border_color=”RGBA(255,255,255,0)” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.18.0″ _module_preset=”default” bottom_divider_color=”#E02B20″ global_colors_info=”{}”][et_pb_row _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” text_font=”Arimo|700|||||||” text_text_color=”#0C71C3″ header_font=”Arimo|700|||||||” header_text_color=”#0C71C3″ text_text_color_tablet=”#0C71C3″ text_text_color_phone=”#0C71C3″ text_text_color_last_edited=”on|desktop” global_colors_info=”{}” text_text_color__hover_enabled=”on|desktop” text_text_color__hover=”#0C71C3″]<\/p>\n

Keynote Speakers<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_4,3_4″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/research.utm.my\/wp-content\/uploads\/sites\/32\/2022\/09\/pm-dr-zuraida.png” title_text=”pm-dr-zuraida” _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_text_color=”#0C71C3″ header_2_text_color=”#0C71C3″ header_4_text_color=”#0C71C3″ global_colors_info=”{}”]<\/p>\n

Assoc. Prof. Ts. Dr. Zuraida Abal Abas<\/strong><\/h3>\n
Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka<\/h5>\n

<\/h4>\n

Point of sales Analytics \u2013 A scientific approach to drive performance in businesses.<\/em><\/strong><\/h4>\n

Wide range of business such as retailer, restauranters and online ecommerce website use Point-of-Sales (POS) system to complete the customer journey of buying the product or service, made payment and finalize the transaction. In other words, it allows business to accept all forms of payment and keep track of the sales. Massive amount of data is produced through POS and business owner can perform analytics to drive better performance of sales, product development efforts and marketing. All of these contribute to increase the revenue as well as reducing cost. This contribution which is obtain through POS analytics is a scientific approach that is needed to be shared to all academicians, practitioner and businesses. In this sharing session, scientific approach of POS analytics such as sales and item prediction, market basket analysis, product network analysis and raw material prediction based on sales prediction modelling will be highlighted. All categories of POS analytics which are descriptive, predictive and prescriptive analytics will be shared using real case study from food and beverage industry.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_4,3_4″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/research.utm.my\/wp-content\/uploads\/sites\/32\/2022\/09\/dr-sarina.png” title_text=”dr-sarina” _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_4_text_color=”#0C71C3″ global_colors_info=”{}”]<\/p>\n

Ts. Dr. Sarina Sulaiman<\/strong><\/h3>\n
Faculty of Computing, Universiti Teknologi Malaysia<\/h5>\n

<\/h4>\n

Big Data Analytics for Online Learning Environment<\/strong><\/em><\/h4>\n

Big data analytics in e-learning has been commonly used by most institutions especially during pandemic Covid-19. E-learning services include view, submit and upload files, attempt quiz, view forums, download files and others. The data stores in the servers grow synchronously with the increment of learners in e-learning at Universiti Teknologi Malaysia (UTM) and Massive Open Online Courses (MOOCs) for every semester and year. As a result, the data has become extremely huge or so-called big data for Web log dataset. Moreover, machine learning approaches are needed for big data analytics to identify the Web log dataset for learners\u2019 history engagement. The dataset can be utilised for data analytics to study the pattern of the data and insights of meaningful information. The evolution of the education system brings learning institutions that offer online knowledge delivery as an alternative. In addition, to give more flexibility for learners to gain their knowledge, this condition will benefit learners as they can set up their own environment when attending an online learning. However, the online learning environment causes learners and teachers not interacting directly anymore. This situation led to low engagement between learners and teachers. Therefore, the big data analytics for the engagement of online courses is important to increase the learners\u2019 motivation in attending and completing the online learning environment.<\/p>\n

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Call for Paper<\/strong><\/h3>\n

You are cordially invited to submit your manuscripts to the First International Conference on Applied Data Science and Computational Intelligence ADSCI 2022 which will be in Ho Chi Minh, Vietnam.<\/p>\n

Publication:<\/strong>
All accepted papers will be published in Conference
Proceedings (indexed in Scopus)<\/p>\n

The broad areas of interests mainly relating to Applied Data Science and Computational Intelligence are (but not limited to*):
\u2022 Data analytics
\u2022 Big Data Analytics
\u2022 Data mining
\u2022 Machine Learning
\u2022 Deep Learning
\u2022 Bio-Inspired Computing
\u2022 Business intelligence
\u2022 Visualization Analytics
\u2022 Artificial life\/Being
\u2022 Clustering
\u2022 Evolutionary Systems
\u2022 Expert System
\u2022 Forecasting
\u2022 Fuzzy Logic
\u2022 Fuzzy Systems
\u2022 Knowledge Representation
\u2022 Knowledge-based Systems
\u2022 Multi-Agent Systems
\u2022 Neural Fuzzy Systems
\u2022 Neural network
\u2022 Swarm Intelligence<\/p>\n

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Important Dates<\/strong><\/h3>\n

<\/strong><\/p>\n

Paper submission due: July 31, 2022<\/span> \u00a0Aug 20, 2022<\/span><\/strong><\/p>\n

Notification of Acceptance: 2 weeks after submission<\/strong><\/p>\n

Registration Deadline: September 1, 2022<\/strong><\/p>\n

Conference Date: September 23-24, 2022<\/strong><\/p>\n

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Submission Guidelines<\/strong>
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  1. Quick start guide: Download Here<\/a><\/span><\/li>\n
  2. Prepare your manuscript using the Springer template in MS Word (in *.docm format). Maximum 10 pages.
    Instructions to use the template can be obtain     here<\/a><\/span>\n