ACM Transactions on Data Science
CALL FOR PAPERS
Editor-in-Chief
Beng Chin Ooi, National University of Singapore
Senior Associate Editors
Mike Franklin, University of Chicago
H.V. Jagadish, University of Michigan
Hong Mei, Beijing Institute of Technology and Peking University
Renée J. Miller, University of Toronto
Jeannette M. Wing, Columbia University
________________________________
Data Science relies on the massive volumes of diverse data generated from all forms of human activity and interaction with the environment to make decisions and to solve problems. Traditional methods for managing and processing data have been scaled to address its growth, but new approaches are required to deal with these heterogeneous, high velocity, very large data sources of varying quality, coverage, and semantics. There are challenges at every stage. Addressing these challenges requires innovations in a wide range of computing sub-disciplines, from computer architecture to human computer interaction, and from data analytics to recommendations. ACM Transactions on Data Science (TDS) will serve as the premier forum for describing and advancing the state of the art on this important topic.
Scope
The scope of the TDS includes cross-disciplinary innovative research ideas, algorithms, systems, theory and applications for data science. Papers that address challenges at every stage, from acquisition on, through data cleaning, transformation, representation, integration, indexing, modeling, analysis, visualization, and interpretation while retaining privacy, fairness, provenance, transparency, and provision of social benefit, within the context of big data, fall within the scope of the journal.
The objective of the journal is to provide a forum for cross-cutting research results that contribute to data science. Papers that address core technologies without clear evidence that they propose multi/cross-disciplinary technologies and approaches designed for management and processing of large volumes of data, and for data-driven decision making will be out of scope of this journal.
For further information or to submit your manunoscript, please visit https://tds.acm.org.
.
@AI_Events
CALL FOR PAPERS
Editor-in-Chief
Beng Chin Ooi, National University of Singapore
Senior Associate Editors
Mike Franklin, University of Chicago
H.V. Jagadish, University of Michigan
Hong Mei, Beijing Institute of Technology and Peking University
Renée J. Miller, University of Toronto
Jeannette M. Wing, Columbia University
________________________________
Data Science relies on the massive volumes of diverse data generated from all forms of human activity and interaction with the environment to make decisions and to solve problems. Traditional methods for managing and processing data have been scaled to address its growth, but new approaches are required to deal with these heterogeneous, high velocity, very large data sources of varying quality, coverage, and semantics. There are challenges at every stage. Addressing these challenges requires innovations in a wide range of computing sub-disciplines, from computer architecture to human computer interaction, and from data analytics to recommendations. ACM Transactions on Data Science (TDS) will serve as the premier forum for describing and advancing the state of the art on this important topic.
Scope
The scope of the TDS includes cross-disciplinary innovative research ideas, algorithms, systems, theory and applications for data science. Papers that address challenges at every stage, from acquisition on, through data cleaning, transformation, representation, integration, indexing, modeling, analysis, visualization, and interpretation while retaining privacy, fairness, provenance, transparency, and provision of social benefit, within the context of big data, fall within the scope of the journal.
The objective of the journal is to provide a forum for cross-cutting research results that contribute to data science. Papers that address core technologies without clear evidence that they propose multi/cross-disciplinary technologies and approaches designed for management and processing of large volumes of data, and for data-driven decision making will be out of scope of this journal.
For further information or to submit your manunoscript, please visit https://tds.acm.org.
.
@AI_Events
ACM Transactions on Data Science (TDS)
ACM TDS
publishes papers on cross disciplinary innovative research ideas, algorithms, systems, theory and applications for data science
Forwarded from H4E
#اخلاق_و_فناوری
#روز_دوم گردهمایی "علوم انسانی برای نخبگان"
❇️ پانل اخلاق، فناوری و هوش مصنوعی
✴️ یکشنبه، ۲۳ اردیبهشت، ساعت ۱۶، سالن خوارزمی دانشکده مهندسی کامپیوتر
🔍 @H4E97
📷 instagram.com/H4E97
#روز_دوم گردهمایی "علوم انسانی برای نخبگان"
❇️ پانل اخلاق، فناوری و هوش مصنوعی
✴️ یکشنبه، ۲۳ اردیبهشت، ساعت ۱۶، سالن خوارزمی دانشکده مهندسی کامپیوتر
🔍 @H4E97
📷 instagram.com/H4E97
سخنرانی با موضوع مقدمه ای بر Deep learning
با حضور مهندس علیرضا صادقی
هم بنیانگذار استارتاپ پوشه
یکشنبه ۳۰ اردیبهشت
ثبت نام رایگان در:
evnd.co/UmXfG
@AI_Events
با حضور مهندس علیرضا صادقی
هم بنیانگذار استارتاپ پوشه
یکشنبه ۳۰ اردیبهشت
ثبت نام رایگان در:
evnd.co/UmXfG
@AI_Events
IPM Data Science Meetup #11
The Art of Visualization
By: Dr. Amin Sadeghi, University of Tehran
Thursday 03 Khordad 1397, 10:00 AM
@AI_Events
The Art of Visualization
By: Dr. Amin Sadeghi, University of Tehran
Thursday 03 Khordad 1397, 10:00 AM
@AI_Events
Ai Events️
IPM Data Science Meetup #11 The Art of Visualization By: Dr. Amin Sadeghi, University of Tehran Thursday 03 Khordad 1397, 10:00 AM @AI_Events
🖥 Webinar ...
Can't attend this meeting at that time and in that location? No problem!
The webinar service of IPM Data Science is launched and you can attend the meetups online. 😊
To join this event, click the following link, enter a name and access the meeting as a guest.
Webinar Link: http://repo.hpc.ipm.ac.ir/ipmdsmu11
@AI_Events
Can't attend this meeting at that time and in that location? No problem!
The webinar service of IPM Data Science is launched and you can attend the meetups online. 😊
To join this event, click the following link, enter a name and access the meeting as a guest.
Webinar Link: http://repo.hpc.ipm.ac.ir/ipmdsmu11
@AI_Events
Forwarded from کارگروه کلانداده - دانشگاه صنعتی شریف
🗒 “Machine Learning with TensorFlow on Google Cloud Platform”
(new specialization on Coursera)
⏱ زمان : پنجشنبه 9 خرداد 1397
🔗 لینک ثبت نام: https://goo.gl/PqNxBc
@bigdataworkgroup
(new specialization on Coursera)
⏱ زمان : پنجشنبه 9 خرداد 1397
🔗 لینک ثبت نام: https://goo.gl/PqNxBc
@bigdataworkgroup
مدرسه تابستانی علم داده (مقدماتی)
پژوهشگاه دانشهای بنیادی با همکاری مرکز علوم داده آمستردام
9 تا 14 تیر 1397
ثبت نام و اطلاعات بیشتر در سایت
conf.ipm.ir/elementary-school
@AI_Events
پژوهشگاه دانشهای بنیادی با همکاری مرکز علوم داده آمستردام
9 تا 14 تیر 1397
ثبت نام و اطلاعات بیشتر در سایت
conf.ipm.ir/elementary-school
@AI_Events
🔷 IPM-DS Meetup #12
▪️ Signal Processing on Graphs
▫️By: Dr. Hojjat Akhondi-Asl, Powerline Tech., UK
🕙 Monday 1397/03/21, 15:00
🖥 Webinar: http://repo.hpc.ipm.ac.ir/ipmdsmu12
@AI_Events
▪️ Signal Processing on Graphs
▫️By: Dr. Hojjat Akhondi-Asl, Powerline Tech., UK
🕙 Monday 1397/03/21, 15:00
🖥 Webinar: http://repo.hpc.ipm.ac.ir/ipmdsmu12
@AI_Events
IPM Data Science Meetup #13
عنوان: Schema on Read vs Schema on Write
توسط: روزبه ترابی، مدیر عامل شرکت دادهکاوان هوشمند توسن
پنجشنبه 24 خرداد 1397 ساعت 10:00
@AI_Events
عنوان: Schema on Read vs Schema on Write
توسط: روزبه ترابی، مدیر عامل شرکت دادهکاوان هوشمند توسن
پنجشنبه 24 خرداد 1397 ساعت 10:00
@AI_Events
🔅 دومین دورهی مدرسهی تابستانی یادگیری عمیق
📆 مرداد ۱۳۹۷
🔗 اطلاعات بیشتر و ثبتنام:
http://acm.ut.ac.ir/deeplearning
@UTDeepLearning2018
@AI_Events
📆 مرداد ۱۳۹۷
🔗 اطلاعات بیشتر و ثبتنام:
http://acm.ut.ac.ir/deeplearning
@UTDeepLearning2018
@AI_Events
ارائه دکتر قاسم مختاری با عنوان:
"Big data management of future IOT systems"
روز: شنبه ۳۰ تیرماه
ساعت: ۱۲:۳۰
کلاس ۲۰۴، دانشکده مهندسی کامپیوتر و فناوری اطلاعات دانشگاه صنعتی امیرکبیر @AI_Events
"Big data management of future IOT systems"
روز: شنبه ۳۰ تیرماه
ساعت: ۱۲:۳۰
کلاس ۲۰۴، دانشکده مهندسی کامپیوتر و فناوری اطلاعات دانشگاه صنعتی امیرکبیر @AI_Events
Title: Adversarial Machine Learning
Date: Tuesday, July 24, 2018
Time: 12:00 PM Eastern Daylight Time
Duration: 1 hour
Registration link: https://goo.gl/7uxQPx
@AI_Events
Date: Tuesday, July 24, 2018
Time: 12:00 PM Eastern Daylight Time
Duration: 1 hour
Registration link: https://goo.gl/7uxQPx
@AI_Events
مدرسه تابستانی علم داده (پیشرفته)
🔵 پژوهشگاه دانشهای بنیادی و مرکز علوم داده آمستردام
🕖 از 27 مرداد 1397 به مدت 6 روز
📍ثبت نام و اطلاعات بیشتر در سایت
ds.ipm.ir/advanced-school
@AI_Events
🔵 پژوهشگاه دانشهای بنیادی و مرکز علوم داده آمستردام
🕖 از 27 مرداد 1397 به مدت 6 روز
📍ثبت نام و اطلاعات بیشتر در سایت
ds.ipm.ir/advanced-school
@AI_Events
مدرسه تابستانی یادگیری عمیق در دانشگاه تهران. دهم تا دوازدهم مرداد. ثبت نام تا چهارم مرداد. http://acm.ut.ac.ir/deeplearning
@AI_Events
@AI_Events
🔶 سومین دوره کارگاه آموزش یادگیری عمیق روی تنسورفلو
🔷 آموزش تئوری + تمرین های عملی
🔖مدرک رسمی دانشگاه شریف
📆 11و12مرداد
✔️ اطلاعات بیشتر و ثبت نام:
lis.ee.sharif.ir/tensorflow
@AI_Events
🔷 آموزش تئوری + تمرین های عملی
🔖مدرک رسمی دانشگاه شریف
📆 11و12مرداد
✔️ اطلاعات بیشتر و ثبت نام:
lis.ee.sharif.ir/tensorflow
@AI_Events