Difference between revisions of "Sandbox-Conference-Program"

Revision as of 20:52, 15 September 2018

October 24, 2018

Wednesday

09:00-09:30

Registration

09:30-10:50

Opening Ceremony

Room #1

10:50-11:00

Refreshments and Networking

11:00-11:50

Opening Plenary OPL

Room #1

Internet of Things

G. N. Prezerakos, University of Attica

Info

11:50-12:00

Refreshments and Networking

12:00-13:20

Panel PSP

Room #1

Key MIS Issues for the Public Sector

Info

Track Session DMM 1

Room #2

Data Mining and Machine/Deep Learning

Evaluation of Call Center Efficiency Using Text Mining Approach - Eda Üzüm, Boğaziçi University; Seren Başaran, Boğaziçi University; Sona Mardikyan, Boğaziçi University

Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks - Furkan Gürsoy, Boğaziçi University; Ahmet Onur Durahim, Boğaziçi University

Finding a Model that Provides High Profits with Web Usage Mining: A Case Study - Şükrü Can Şayan, Gazi University; Tahsin Çetinyokuş, Gazi University

Integration of the Google Analytics tool into the data pre-processing layer for WEB Usage Mining: A case study - Şükrü Can Şayan, Gazi University; Tahsin Çetinyokuş, Gazi University

Track

13:20-14:20

Lunch Break

14:20-15:40

Panel ICP

Room #1

Industry Challenge: Next Generation of Business Models and Ecosystems

Info

Track Session GEN 1

Room #2

General Topics

Papers

15:40-15:50

Refreshments and Networking

15:50-17:10

Track Session TRA 1

Room #2

Digital Transformation

Papers

Track Session KNO

Room #3

Knowledge Management

Papers

Track Session IND

Room #4

Industry 4.0

Papers

17:10-17:20

Refreshments and Networking

17:20-18:50

Tutorial TUT 1

Room #3

Blockchain Fundamentals

Info

Workshop WOR 1

Room #4

Social Media

Info

19:00-21:00

Conference Dinner

@@ Line 76: / Line 76: @@
                </div>
                <p class="is-small has-text-weight-bold">Data Mining and Machine/Deep Learning</p>
-<ul class="is-small">
+              <p class="is-small"><span class="icon" style="color: #e0470d;"><i class="fa fa-file-text-o"></i></span> Evaluation of Call Center Efficiency Using Text Mining Approach - Eda Üzüm, Boğaziçi University; Seren Başaran, Boğaziçi University; Sona Mardikyan, Boğaziçi University</p>
-<li>Evaluation of Call Center Efficiency Using Text Mining Approach - Eda Üzüm, Boğaziçi University; Seren Başaran, Boğaziçi University; Sona Mardikyan, Boğaziçi University</li>
+              <p class="is-small"><span class="icon" style="color: #e0470d;"><i class="fa fa-file-text-o"></i></span> Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks - Furkan Gürsoy, Boğaziçi University; Ahmet Onur Durahim, Boğaziçi University</p>
-<li>Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks - Furkan Gürsoy, Boğaziçi University; Ahmet Onur Durahim, Boğaziçi University</li>
+              <p class="is-small"><span class="icon" style="color: #e0470d;"><i class="fa fa-file-text-o"></i></span> Finding a Model that Provides High Profits with Web Usage Mining: A Case Study - Şükrü Can Şayan, Gazi University; Tahsin Çetinyokuş, Gazi University</p>
-<li>Finding a Model that Provides High Profits with Web Usage Mining: A Case Study - Şükrü Can Şayan, Gazi University; Tahsin Çetinyokuş, Gazi University</li>
+              <p class="is-small"><span class="icon" style="color: #e0470d;"><i class="fa fa-file-text-o"></i></span> Integration of the Google Analytics tool into the data pre-processing layer for WEB Usage Mining: A case study - Şükrü Can Şayan, Gazi University; Tahsin Çetinyokuş, Gazi University</p>
-<li>Integration of the Google Analytics tool into the data pre-processing layer for WEB Usage Mining: A case study - Şükrü Can Şayan, Gazi University; Tahsin Çetinyokuş, Gazi University</li>
+               <p><a class="button is-small" href="/index.php?title=Track:_DMM">Track</a></p>
-</ul>
-               <p><a class="button is-small" href="/index.php?title=Track:_DMM">Papers</a></p>
              </div></div>
            </div>