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Today's Topics:
1. Call for papers: ParLearning 2015 held in conjunction with
IPDPS 2015 (Arindam Pal)
2. BigDat 2015: registration deadline 23 December (GRLMC)
3. BIOKDD-DEXA'15: CFP (Mourad Elloumi)
4. CALL FOR PAPERS, SPECIAL SESSIONS - DIPDMWC2015
(The International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC2015))
----------------------------------------------------------------------
Message: 1
Date: Sat, 13 Dec 2014 09:51:14 +0530
From: Arindam Pal <arindamp@gmail.com>
To: DMANET <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] Call for papers: ParLearning 2015 held in
conjunction with IPDPS 2015
Message-ID:
<CAK4LEKk81FZkZWe0e8ncfXVM95mfnJpd04KU1vVqFwNFa0p4ow@mail.gmail.com>
Content-Type: text/plain; charset=UTF-8
Please find the call for papers for ParLearning 2015 held in conjunction
with IPDPS 2015.
Regards,
Dr. Arindam Pal
Research Scientist
TCS Innovation Labs Kolkata
http://www.cse.iitd.ac.in/~arindamp/
================================================================
We apologize in advance if you receive multiple copies of this CFP.
We appreciate your help in forwarding this CFP to relevant lists.
================================================================
****************************************************************
CALL FOR PAPERS
****************************************************************
The 4th International Workshop on
Parallel and Distributed Computing for
Large Scale Machine Learning and Big Data Analytics
****************************************************************
May 29, 2015
Hyderabad, India
In Conjunction with IPDPS 2015
http://www.usc.edu/dept/engineering/parlearning/
****************************************************************
Scaling up machine-learning (ML), data mining (DM) and reasoning
algorithms from Artificial Intelligence (AI) for massive datasets
is a major technical challenge in the times of "Big Data". The
past ten years has seen the rise of multi-core and GPU based computing.
In distributed computing, several frameworks such as Mahout, GraphLab
and Spark continue to appear to facilitate scaling up ML/DM/AI
algorithms using higher levels of abstraction. We invite novel works
that advance the trio-fields of ML/DM/AI through development of
scalable algorithms or computing frameworks. Ideal submissions would
be characterized as scaling up X on Y, where potential choices for
X and Y are provided below.
Scaling up
---- recommender systems
---- gradient descent algorithms
---- deep learning
---- sampling/sketching techniques
---- clustering (agglomerative techniques, graph clustering,
clustering heterogeneous data)
---- classification (SVM and other classifiers)
---- SVD
---- probabilistic inference (bayesian networks)
---- logical reasoning
---- graph algorithms and graph mining
On
---- Parallel architectures/frameworks (OpenMP, OpenCL, Intel TBB)
---- Distributed systems/frameworks (GraphLab, Hadoop, MPI, Spark etc.)
=========================================
ORGANIZATION
=========================================
Sutanay Choudhury, Pacific Northwest National Laboratory, USA
Arindam Pal, TCS Innovation Labs, India
Anand Panangadan, University of Southern California, USA
Yinglong Xia, IBM Research, USA
=========================================
PROGRAM COMMITTEE
=========================================
Virendra C. Bhavsar, University of New Brunswick, Canada
Danny Bickson, GraphLab Inc., USA
Peter Boncz, Vrije Universiteit, Netherlands
Zhihui Du, Tsinghua University, China
Dinesh Garg, IBM India Research Laboratory, India
Qirong Ho, Infocomm Research, A*STAR, Singapore
Yihua Huang, Nanjing University, China
Renato Porfirio Ishii, Federal University of Mato
Grosso do Sul (UFMS), Brazil
Ananth Kalyanaraman, Washington State University, USA
Dionysis Logothetis, Telefonica, Spain
Debnath Mukherjee, TCS Research, India
Huansheng Ning, Beihang University, China
Gautam Shroff, TCS Innovation Labs, India
Aniruddha Sinha, TCS Research, India
Neal Xiong, Georgia State University, USA
Jianting Zhang, City College of New York, USA
Wei Zhang, IBM Research, USA
=========================================
IMPORTANT DATES
=========================================
Paper submission: January 18th, 2015 AON
Notification: February 14th, 2015
Camera Ready: February 28th, 2015
=========================================
PAPER GUIDELINES
=========================================
Submitted manuscripts may not exceed 6 single-spaced
double-column pages using 10-point size font on 8.5x11
inch pages (IEEE conference style), including figures,
tables, and references. More format requirements will
be posted on the IPDPS web page (www.ipdps.org) after
the author notification.
=========================================
PUBLICATIONS AND AWARDS
=========================================
---- The workshop proceedings will be added to ACM
Digital Library.
---- A best paper award, sponsored by Pacific Northwest
National Laboratory, USA will be announced at the
workshop.
---- Accepted papers with sufficient extensions will be
recommended for publication in a journal (TBD), subject
to review by the journal editorial board.
---- Students with accepted papers have a chance to apply
for a travel award. Please find details at www.ipdps.org.
=========================================
PREVIOUS PARLEARNING WORKSHOPS
=========================================
2012 - http://researcher.watson.ibm.com/researcher/view_group.php?id=2591
2013 - http://cass-mt.pnnl.gov/parlearning.aspx
2014 - https://edas.info/web/parlearning2014/
------------------------------
Message: 2
Date: Sat, 13 Dec 2014 16:04:25 +0100
From: "GRLMC" <grlmc@urv.cat>
To: <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] BigDat 2015: registration deadline 23 December
Message-ID: <9D6CA971934346F598DE7780EFDF9BBA@Carlos1>
Content-Type: text/plain; charset="iso-8859-1"
*****************************************************
INTERNATIONAL WINTER SCHOOL ON BIG DATA
BigDat 2015
Tarragona, Spain
January 26-30, 2015
Organized by
Rovira i Virgili University
http://grammars.grlmc.com/bigdat2015/
*****************************************************
--- 7th registration deadline: December 23, 2014 ---
*****************************************************
AIM:
BigDat 2015 is a research training event for graduates and postgraduates in
the first steps of their academic career. It aims at updating them about the
most recent developments in the fast developing area of big data, which
covers a large spectrum of current exciting research, development and
innovation with an extraordinary potential for a huge impact on scientific
discoveries, medicine, engineering, business models, and society itself.
Renowned academics and industry pioneers will lecture and share their views
with the audience.
All big data subareas will be displayed, namely: foundations,
infrastructure, management, search and mining, security and privacy, and
applications. Main challenges of analytics, management and storage of big
data will be identified through 4 keynote lectures, 22 six-hour courses, and
1 round table, which will tackle the most lively and promising topics. The
organizers believe outstanding speakers will attract the brightest and most
motivated students. Interaction will be a main component of the event.
ADDRESSED TO:
Graduate and postgraduates from around the world. There are no formal
pre-requisites in terms of academic degrees. However, since there will be
differences in the course levels, specific knowledge background may be
required for some of them.
BigDat 2015 is also appropriate for more senior people who want to keep
themselves updated on recent developments and future trends. They will
surely find it fruitful to listen and discuss with major researchers,
industry leaders and innovators.
REGIME:
In addition to keynotes, 3 courses will run in parallel during the whole
event. Participants will be able to freely choose the courses they will be
willing to attend as well as to move from one to another.
VENUE:
BigDat 2015 will take place in Tarragona, located 90 kms. to the south of
Barcelona. The venue will be:
Campus Catalunya
Universitat Rovira i Virgili
Av. Catalunya, 35
43002 Tarragona
KEYNOTE SPEAKERS:
Ian Foster (Argonne National Laboratory), Taming Big Data: Accelerating
Discovery via Outsourcing and Automation
Geoffrey C. Fox (Indiana University, Bloomington), Mapping Big Data
Applications to Clouds and HPC
C. Lee Giles (Pennsylvania State University, University Park), Scholarly Big
Data: Information Extraction and Data Mining
William D. Gropp (University of Illinois, Urbana-Champaign), tba
COURSES AND PROFESSORS:
Hendrik Blockeel (KU Leuven), [intermediate] Decision Trees for Big Data
Analytics
Diego Calvanese (Free University of Bozen-Bolzano),
[introductory/intermediate] End-User Access to Big Data Using Ontologies
Jiannong Cao (Hong Kong Polytechnic University), [introductory/intermediate]
Programming with Big Data
Edward Y. Chang (HTC Corporation, New Taipei City), [introductory/advanced]
Big Data Analytics: Architectures, Algorithms, and Applications
Ernesto Damiani (University of Milan), [introductory/intermediate] Process
Discovery and Predictive Decision Making from Big Data Sets and Streams
Gautam Das (University of Texas, Arlington), [intermediate/advanced] Mining
Deep Web Repositories
Maarten de Rijke (University of Amsterdam), tba
Geoffrey C. Fox (Indiana University, Bloomington), [intermediate] Using
Software Defined Systems to Address Big Data Problems
Minos Garofalakis (Technical University of Crete, Chania)
[intermediate/advanced], Querying Continuous Data Streams
Vasant G. Honavar (Pennsylvania State University, University Park)
[introductory/intermediate], Learning Predictive Models from Big Data
Tao Li (Florida International University, Miami),
[introductory/intermediate] Data Mining Techniques to Understand Textual
Data
Kwan-Liu Ma (University of California, Davis), [intermediate] Big Data
Visualization
Christoph Meinel (Hasso Plattner Institute, Potsdam),
[introductory/intermediate] New Computing Power by In-Memory and Multicore
to Tackle Big Data
Manish Parashar (Rutgers University, Piscataway), [intermediate] Big Data
Challenges in Simulation-based Science
Srinivasan Parthasarathy (Ohio State University, Columbus), [intermediate]
Scalable Data Analysis
Evaggelia Pitoura (University of Ioannina), [introductory/intermediate]
Online Social Networks
Vijay V. Raghavan (University of Louisiana, Lafayette),
[introductory/intermediate] Visual Analytics of Time-evolving Large-scale
Graphs
Pierangela Samarati (University of Milan), [intermediate], Data Security and
Privacy in the Cloud
Peter Sanders (Karlsruhe Institute of Technology),
[introductory/intermediate] Algorithm Engineering for Large Data Sets
Johan Suykens (KU Leuven), [introductory/intermediate] Fixed-size Kernel
Models for Big Data
Domenico Talia (University of Calabria, Rende), [intermediate] Scalable Data
Mining on Parallel, Distributed and Cloud Computing Systems
Jieping Ye (Arizona State University, Tempe), [introductory/advanced]
Large-Scale Sparse Learning and Low Rank Modeling
ORGANIZING COMMITTEE:
Adrian Horia Dediu (Tarragona)
Carlos Mart?n-Vide (Tarragona, chair)
Florentina Lilica Voicu (Tarragona)
REGISTRATION:
It has to be done at
http://grammars.grlmc.com/bigdat2015/registration.php
The selection of up to 8 courses requested in the registration template is
only tentative and non-binding. For the sake of organization, it will be
helpful to have an approximation of the respective demand for each course.
Since the capacity of the venue is limited, registration requests will be
processed on a first come first served basis. The registration period will
be closed and the on-line registration facility disabled when the capacity
of the venue will be complete. It is much recommended to register prior to
the event.
FEES:
As far as possible, participants are expected to stay full-time. Fees are a
flat rate covering the attendance to all courses during the week. There are
several early registration deadlines. Fees depend on the registration
deadline.
ACCOMMODATION:
Suggestions of accommodation are available on the webpage.
CERTIFICATE:
Participants will be delivered a certificate of attendance.
QUESTIONS AND FURTHER INFORMATION:
florentinalilica.voicu@urv.cat
POSTAL ADDRESS:
BigDat 2015
Lilica Voicu
Rovira i Virgili University
Av. Catalunya, 35
43002 Tarragona, Spain
Phone: +34 977 559 543
Fax: +34 977 558 386
ACKNOWLEDGEMENTS:
Universitat Rovira i Virgili
---
Este mensaje no contiene virus ni malware porque la protecci?n de avast! Antivirus est? activa.
http://www.avast.com
------------------------------
Message: 3
Date: Sun, 14 Dec 2014 17:05:29 +0100
From: Mourad Elloumi <mourad.elloumi@gmail.com>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] BIOKDD-DEXA'15: CFP
Message-ID:
<CAE_1z1U2Jg=D=ah8mKs66M3Ksb49t0xtpBCwZPcoo8UOHSrbkA@mail.gmail.com>
Content-Type: text/plain; charset=UTF-8
*CALL FOR PAPERS*
*6th International Workshop on*
*Biological **Knowledge Discovery and Data Mining* *(BIOKDD'15)*
Held in parallel with
*26th International Conference on Database and *
*Expert Systems Applications **(**DEXA?15**)*
www.dexa.org
Valencia, Spain September 1-4, 2015
With the development of Molecular Biology during the last decades, we are
witnessing an exponential growth of both the volume and the complexity of
biological data. For example, the* Human Genome Project* provided the
sequence of the 3 billion DNA bases that constitute the human genome. And,
consequently, we are provided too with the sequences of about 100,000
proteins. Therefore, we are entering the post-genomic era: after having
focused so many efforts on the accumulation of data, we have now to focus
as much effort, and even more, on the analysis of these data. Analyzing
this huge volume of data is a challenging task because, not only, of its
complexity and its multiple and numerous correlated factors, but also,
because of the continuous evolution of our understanding of the biological
mechanisms. Classical approaches of biological data analysis are no longer
efficient and produce only a very limited amount of information, compared
to the numerous and complex biological mechanisms under study. From here
comes the necessity to use computer tools and develop new *in silico* high
performance approaches to support us in the analysis of biological data
and, hence, to help us in our understanding of the correlations that exist
between, on one hand, structures and functional patterns of biological
sequences and, on the other hand, genetic and biochemical mechanisms.
*Knowledge
Discovery and Data Mining* (KDD) are a response to these new trends.
Topics of BIOKDD workshop include, but not limited to:
*Data Preprocessing: *Biological Data Storage*, *Representation and Management
(data warehouses, databases, sequences, trees, graphs, biological networks
and pathways, ?), Biological Data *Cleaning* (errors removal, redundant
data removal, completion of missing data, ?), *Feature* Extraction
(motifs, subgraphs,
?), *Feature* Selection (filter approaches, wrapper approaches, hybrid
approaches, embedded approaches, ?)
*Data Mining: *Biological Data Regression (regression of biological
sequences?), Biological data clustering/biclustering (microarray data
biclustering, clustering/biclustering of biological sequences, ?),
Biological Data Classification (classification of biological
sequences?), Association
Rules Learning from Biological Data, Text mining and Application to
Biological Sequences, Web mining and Application to Biological Data,
Parallel, Cloud and Grid Computing for Biological Data Mining
*Data Postprocessing:* Biological Nuggets of Knowledge Filtering,
Biological Nuggets of Knowledge Representation and Visualization,
Biological Nuggets of Knowledge Evaluation (calculation of the
classification error rate, evaluation of the association rules *via*
numerical indicators, e.g. *measurements of interest*, ? ), Biological
Nuggets of Knowledge Integration
*PAPER SUBMISSION DETAILS: *
Authors are invited to submit electronically original contributions in
English. Submitted papers should not exceed 5 pages in IEEE format
http://www.computer.org/portal/web/cscps/formatting. All accepted papers
will be published in the proceedings of DEXA?15 Workshops with IEEE CSP*. *One
of the authors of an accepted paper must register to DEXA?15 conference and
present the paper at BIOKDD?15 workshop. For paper registration and
electronic submission see http://confdriver.ifs.tuwien.ac.at/dexa2015/
starting from January 2015.
The winner paper of the Best Paper Award in BIOKDD-DEXA?15 workshop will be
published for free by BioData Mining <www.biodatamining.org>.
*IMPORTANT DATES:* Submission of abstracts: April 7, 2015
Submission of full papers:
April 10, 2015
Notification of acceptance:
April 21, 2015
Camera-ready copies due: May
31, 2015
*PROGRAM COMMITTEE* (in alphabetical order)*:*
Mourad Elloumi, LaTICE, University of Tunis, Tunisia (PC Chair)
Haider Banka, Indian School of Mines, Dhanbad, India
J?r?mie Bourdon, University of Nantes, France
Tolga Can, Middle East Technical University, Ankara, Turkey
Virginio Cantoni, University of Pavia, Pavia, Italy
Matteo Comin, University of Padova, Padova, Italy
Bhaskar DasGupta, University of Illinois at Chicago, Chicago, USA
Sebastian Dorok, Otto-von-Guericke-University, Magdeburg, Germany
Giovanni Felici, IASI, National Research Council of Italy, Rome, Italy
Adrien Go?ffon, University of Angers, France
Yann Guermeur, LORIA-CNRS, Vandoeuvre-l?s-Nancy, France
Robert Harrison, Georgia State University, Atlanta, Georgia, USA
Daisuke Kihara, Purdue University, West Lafayette, USA
Gaurav Kumar, Virginia Commonwealth University, Richmond, USA
Dominique Lavenier, GenScale, IRISA-CNRS, Rennes, France
Ahmed Moussa, University Adbelmalek Essaadi, Tangier, Morocco
Mohamed Nadif, University Paris-Descartes, Paris, France
Hasan Ogul, Baskent University, Ankara, Turkey
Tiratha Raj Singh, Jaypee University of Information and Technology,
Solan, Himachal
Pradesh, India
Mohamed-Ramzi Temanni, Sidra Medical and Research Center, Doha, Qatar
Davide Verzzotto, Genome Institute of Singapore, Singapore
Emanuel Weitschek, Roma Tre University, Rome, Italy
*[image: Inline image 3]*
*www.biodatamining.com <http://www.biodatamining.com/>*
*Editors-in-Chief*
Jesus Aguilar Ruiz (Spain)
Jason Moore (USA)
------------------------------
Message: 4
Date: Mon, 15 Dec 2014 04:13:09 +0300
From: "The International Conference on Digital Information Processing,
Data Mining, and Wireless Communications (DIPDMWC2015)"
<dipdmwc15@sdiwc.net>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] CALL FOR PAPERS, SPECIAL SESSIONS - DIPDMWC2015
Message-ID: <0f886da988c43369b8f28f947a8b6bbf.squirrel@sdiwc.net>
Content-Type: text/plain;charset=iso-8859-1
** Apologies for cross-posting **
** Please forward to anybody who might be interested. **
====
The International Conference on Digital Information Processing,
Data Mining, and Wireless Communications (DIPDMWC2015)
January 28-30, 2015 - Dubai, UAE
http://sdiwc.net/conferences/dipdmwc2015/
dipdmwc15@sdiwc.net
====
** KEYNOTE SPEAKERS **
Prof. Keith A. Teague, Oklahoma State University, United State
http://sdiwc.net/conferences/dipdmwc2015/keynote-speakers/
====
** GENERAL INFORMATION **
DIPDMWC2015 will be held over three days, with presentations delivered
by researchers from the international community, including presentations
from keynote speakers and state-of-the-art lectures.
All the registered papers will be included in SDIWC Digital Library, and
in the proceedings of the conference.
http://sdiwc.net/digital-library/
====
The published proceedings will be submitted for indexing in ResearchBib.
In addition, they will be reviewed for POSSIBLE inclusion within the
INSPEC, EI, DBLP,
Microsoft Academic Research, ResearchGate, and Google Scholar Databases.
= = = = = = = = = = = = = = = = = = = = =
*** You are invited to submit papers to this exciting event! ***
= = = = = = = = = = = = = = = = = = = = =
** IMPORTANT DATES **
- Submission Date: The submission is open from now until Jan. 08, 2015
- Notification of Acceptance: 2-3 weeks from the submission date
- Camera Ready Submission: Open from now until Jan. 18, 2015
- Last Day for Registration: Open from now until Jan. 18, 2015
====
** PAPER SUBMISSION **
Researchers are encouraged to submit their work electronically.
Submitted paper should not exceed 15 pages, including illustrations.
Papers must be without page numbers.
The submission must be for the full paper (abstracts only are not accepted).
All papers will be fully refereed by a minimum of two specialized referees.
Before final acceptance, all referees comments must be considered.
Accepted papers will be published in the conference proceedings.
Best papers awards will be distributed during the conference.
====
** ORGANIZE A SPECIAL SESSION **
Researchers are welcome to organize special session.
The session should be within a very specific topic.
Please send your session title, your CV for this purpose to
dipdmwc15@sdiwc.net.
The conference will list the session on the web.
The session chair will manage the publicity of his session.
It is expected that each session will attract 5 registered papers.
The session chair will get a free registration for one of his papers.
The submission and the reviewing process for the papers of the sessions
will be managed jointly between the chair and the conference.
The chair can take the responsibility of the reviewing with the help of
other researchers.
However, the conference will get all the reviewing reports at the end.
====
** ORGANIZE A WORKSHOP **
DIPDMWC2015 will host several workshops addressing different areas related to
digital technologies that complement the main DIPDMWC2015 conference.
Workshops are intended to serve as an intensive collaborative forum for
exchanging ideas
and theories that are still in an evolutionary stage. We encourage
prospective workshop
organizers to submit their proposals focusing on either in-depth analysis
or broad-ranging
approaches to areas related to digital technologies.
====
** LOCATION **
The conference will be held in Dubai, UAE
All information about venue and accommodation may be found at the
following links:
http://sdiwc.net/conferences/dipdmwc2015/travel-information/
http://sdiwc.net/conferences/dipdmwc2015/accommodations/
====
Looking forward to welcoming you to Dubai in Jan. 2015.
Aya Akiyama
www.sdiwc.net
==========
------------------------------
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