HTML Export for ICCSW 2018

Copy to Clipboard Download

<h2>OASIcs, Volume 66, ICCSW 2018</h2>
<ul>
<li>
    <span class="authors">Edoardo Pirovano and Eva Graversen</span>
    <span class="title">OASIcs, Volume 66, ICCSW&#039;18, Complete Volume</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018">10.4230/OASIcs.ICCSW.2018</a>
</li>
<li>
    <span class="authors">Edoardo Pirovano and Eva Graversen</span>
    <span class="title">Front Matter, Table of Contents, Preface, Conference Organization</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018.0">10.4230/OASIcs.ICCSW.2018.0</a>
</li>
<li>
    <span class="authors">C. H. Bryan Liu and Benjamin Paul Chamberlain</span>
    <span class="title">Speeding Up BigClam Implementation on SNAP</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018.1">10.4230/OASIcs.ICCSW.2018.1</a>
</li>
<li>
    <span class="authors">Ali Malik, Benjamin Aziz, and Chih-Heng Ke</span>
    <span class="title">THRIFTY: Towards High Reduction In Flow Table memorY</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018.2">10.4230/OASIcs.ICCSW.2018.2</a>
</li>
<li>
    <span class="authors">Gulsum Akkuzu and Benjamin Aziz</span>
    <span class="title">Data-Driven Chinese Walls</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018.3">10.4230/OASIcs.ICCSW.2018.3</a>
</li>
<li>
    <span class="authors">Christina Diedhiou, Bryan Carpenter, and Ramazan Esmeli</span>
    <span class="title">Comparison of Platforms for Recommender Algorithm on Large Datasets</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018.4">10.4230/OASIcs.ICCSW.2018.4</a>
</li>
<li>
    <span class="authors">Alaa Mohasseb, Mohamed Bader-El-Den, and Mihaela Cocea</span>
    <span class="title">Towards Context-Aware Syntax Parsing and Tagging</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018.5">10.4230/OASIcs.ICCSW.2018.5</a>
</li>
<li>
    <span class="authors">Fatima Chiroma, Mihaela Cocea, and Han Liu</span>
    <span class="title">Evaluation of Rule-Based Learning and Feature Selection Approaches For Classification</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018.6">10.4230/OASIcs.ICCSW.2018.6</a>
</li>
<li>
    <span class="authors">Bingnan Luo, Jie Shen, Yujiang Wang, and Maja Pantic</span>
    <span class="title">The iBUG Eye Segmentation Dataset</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018.7">10.4230/OASIcs.ICCSW.2018.7</a>
</li>
<li>
    <span class="authors">Ahmad Alnafessah and Giuliano Casale</span>
    <span class="title">Anomaly Detection for Big Data Technologies</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018.8">10.4230/OASIcs.ICCSW.2018.8</a>
</li>
<li>
    <span class="authors">Ameer A. Al-Shammaa and A. J. Stocker</span>
    <span class="title">A Novel Method for Event Detection using Wireless Sensor Networks</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018.9">10.4230/OASIcs.ICCSW.2018.9</a>
</li>
<li>
    <span class="authors">Fatina Shukur and Harin Sellahewa</span>
    <span class="title">Context-Aware Adaptive Biometrics System using Multiagents</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018.10">10.4230/OASIcs.ICCSW.2018.10</a>
</li>
<li>
    <span class="authors">Matthew Johnson</span>
    <span class="title">Harnessing AI For Research</span>
    <a class="doi" href="https://doi.org/10.4230/OASIcs.ICCSW.2018.11">10.4230/OASIcs.ICCSW.2018.11</a>
</li>
</ul>

The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.

Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode