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<p class=MsoNormal align=center style='text-align:center;line-height:normal'><b><span
lang=EN-US style='font-size:18.0pt;font-family:"Times New Roman",serif'>Call
for Papers - DaWaK '15</span></b></p>
<p class=MsoNormal align=center style='text-align:center;line-height:normal'><b><span
lang=EN-US style='font-size:18.0pt;font-family:"Times New Roman",serif'>17th
International Conference on Big Data Analytics and Knowledge Discovery (DaWaK
2015)</span></b></p>
<h3 align=center style='margin:0cm;margin-bottom:.0001pt;text-align:center;
background:white;vertical-align:baseline'><span lang=EN-US style='font-size:
14.0pt;font-weight:normal'>In conjunction with DEXA 2015 (<a
href="http://www.dexa.org">www.dexa.org</a>)</span></h3>
<h3 align=center style='margin:0cm;margin-bottom:.0001pt;text-align:center;
background:white;vertical-align:baseline'><span lang=EN-US style='font-size:
14.0pt'> </span></h3>
<h3 align=center style='margin:0cm;margin-bottom:.0001pt;text-align:center;
background:white;vertical-align:baseline'><span lang=EN-US style='font-size:
14.0pt'>Valencia, Spain<br>
September 1 - 4, 2015</span></h3>
<p class=MsoNormal style='line-height:normal'><span lang=EN-US
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Three Special
Issues on the best papers from DAWAK '15 will be expanded and revised for
possible inclusion in:</span></p>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;line-height:
normal'><span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman",serif'>Distributed
and Parallel Databases, Springer.</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;line-height:
normal'><span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman",serif'>Transactions
on Large-scale Data- and Knowledge Centered Systems - TLDKS, </span></li>
</ul>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;
margin-left:36.0pt;margin-bottom:.0001pt;line-height:normal'><span lang=EN-US
style='font-size:12.0pt;font-family:"Times New Roman",serif'> </span></p>
<p class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;line-height:
normal'><span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman",serif'>Submissions
presenting current research work on both theoretical and practical aspects of
Big Data, Knowledge Discovery are encouraged. </span></p>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data
Storage</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data
Query Languages and Optimization</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data
Analytics and User Interfaces</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data
Indexing</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data Analytics:
algorithms, techniques, and systems </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data
Quality and Provenance Control</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Social
Networking Big Data Graph Management</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Visualization
Analytics for Big Data</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data
Searching and Discovery</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data
Management in Mobile Applications</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Scalability
and parallelization for cloud intelligence: map-reduce and beyond </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Analytics for
the cloud infrastructure </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Analytics for
unstructured, semi-structured, and structured data </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Semantic web
intelligence </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Analytics for
temporal, spatial, spatio-temporal, and mobile data </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Analytics for
data streams and sensor data </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Analytics for
multimedia data </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Analytics for
social networks </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Real-time/right-time
and event-based analytics </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Privacy and
security in cloud intelligence </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Reliability
and fault tolerance in cloud intelligence</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data Application
design and deployment</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Data mining
techniques: clustering, classification, association rules, decision trees,
etc. </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Data and
knowledge representation </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Knowledge
discovery framework and process, including pre- and post-processing </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Integration
of data warehousing, OLAP and data mining </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Integrating
constraints and knowledge in the KDD process </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Exploring
data analysis, inference of causes, prediction </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Evaluating,
consolidating, and explaining discovered knowledge </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Statistical
techniques for generation a robust, consistent data model </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Interactive
data exploration/visualization and discovery </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Languages and
interfaces for data mining </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Data Mining
Trends, Opportunities and Risks </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Data Mining
from low-quality information sources </span></li>
</ul>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;
margin-left:36.0pt;margin-bottom:.0001pt;text-align:justify;text-justify:inter-ideograph;
line-height:normal'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'> </span></p>
<p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><b><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Industry
and Application Track: </span></b></p>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data Analytics
and Knowledge Discovery Tools </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data Deployment
Industryial Experiences </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span lang=EN-US
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data
Applications in scientific, government, healthcare, bioinformatics, etc. </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data Analytics
applications in E-commerce, Web, intrusion/fraud detection, finance, healthcare,
marketing, telecommunications, etc </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data and Business
Process Intelligence (BPI) </span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data in
Enterprise Management Models and Practices</span></li>
<li class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:
justify;text-justify:inter-ideograph;line-height:normal'><span
style='font-size:12.0pt;font-family:"Times New Roman",serif'>Big Data
Applications in Smart City</span></li>
</ul>
<p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><b><span style='font-size:18.0pt;font-family:"Times New Roman",serif'>Paper
Submission Details</span></b></p>
<p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman",serif'>Authors
are invited to submit research and application papers representing original,
previously unpublished work. Papers should be submitted in PDF or Word format. Submission
Online at: </span><a href="http://confdriver.ifs.tuwien.ac.at/dexa2015"><span
lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman",serif'>DaWaK
2015 Submission site</span></a> <span lang=EN-US style='font-size:12.0pt;
font-family:"Times New Roman",serif'>starting in January 2015.</span></p>
<p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman",serif'>Submissions
must conform to Springer's LNCS format and should not exceed 12 pages. All
accepted papers will be published in LNCS by Springer-Verlag. </span></p>
<p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman",serif'>Authors
of selected best papers from DaWaK 2015 will be invited to submit the extended
paper for special issues of Distributed and Parallel Databases and LNCS
Transactions on Large-Scale Data and Knowledge-Centered Systems.</span></p>
<p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman",serif'>For
further inquiries, contact the DaWaK 2015 PC chairs</span></p>
<p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><b><span style='font-size:18.0pt;font-family:"Times New Roman",serif'>IMPORTANT
DATES</span></b></p>
<ul type=disc>
<li class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><b><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Submission
of abstracts: March 17, 2015</span></b></li>
<li class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><b><span lang=EN-US style='font-size:12.0pt;
font-family:"Times New Roman",serif'>Submission of full papers: March 31,
2015</span></b></li>
<li class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><b><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Notification
of acceptance: May 19, 2015</span></b></li>
<li class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><b><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Camera-ready
copies due: June 09, 2015</span></b></li>
</ul>
<p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><b><span style='font-size:18.0pt;font-family:"Times New Roman",serif'>Program
Chairs</span></b></p>
<ul type=disc>
<li class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><span lang=EN-US style='font-size:12.0pt;font-family:
"Times New Roman",serif'>Sanjay K Madria, Missouri University of Science
and Technology, USA <madrias@mst.edu> </span></li>
<li class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><span lang=EN-US style='font-size:12.0pt;font-family:
"Times New Roman",serif'>Takahiro Hara, Osaka University, Japan <</span><span
lang=EN-US> </span><span lang=EN-US style='font-size:12.0pt;font-family:
"Times New Roman",serif'>hara@ist.osaka-u.ac.jp ></span></li>
</ul>
<p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><b><span style='font-size:18.0pt;font-family:"Times New Roman",serif'>Program
Committee</span></b></p>
<p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;
line-height:normal'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>TBD</span></p>
<p class=MsoNormal><span style='font-size:12.0pt;line-height:115%;font-family:
"Times New Roman",serif'> </span></p>
<p class=MsoNormal> </p>
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