Showing posts sorted by relevance for query data mining. Sort by date Show all posts
Showing posts sorted by relevance for query data mining. Sort by date Show all posts

Monday, March 20, 2017

Конференция по анализу данных

Москва, МГУ, октябрь 2017

Apologies for cross-postings. Please send this Call to your colleagues

(Text of this Call in Russian is at the address)

International Conference on “Data Analytics and Management in Data Intensive Domains”, DAMDID/RCDL’2017

Moscow State University, October 10-13, 2017
http://damdid2017.frccsc.ru/ru/conference_short.html

Call for Contributions

Aims and scope. Exponential growth of data practically in all activity areas, consolidating role to be played by informatics and IT for the development of methods and facilities for data analysis and management in various data intensive domains (DID), study of experience in applying these methods and stimulating their advancement have motivated organization of this conference. Main objective of this conference is to promote the acceleration of researches, improve­ment of their efficiency (quality and visibility of results, competitive ability) at the expense of the enhancement of methods and facilities for data analysis and management in DID. It is expected that the mutual complementarity of approaches in interdisciplinary DID will contri­bute to the creation of the corporate culture generalizing methods for data analysis and infrastructures development applicable in diverse DID.

Target audience. DAMDID conference is a multidisciplinary forum of researchers and practi­tioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains (DID). For participation at the conference the specialists from such DID as X-informatics (where X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social science, economy, finance, etc., as well as specialists in the areas of statistics, informatics, data mining, machine learning, data science, new technologies and IT, business, etc. are invited.

Host organizers

  • Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences (FRC CSC RAS)
  • Department of Computational Mathematics and Cybernetics of the Moscow State University (CMC MSU)
  • National Research Nuclear University MEPhI (NRNU MEPhI)
  • Moscow ACM SIGMOD Chapter

Venue. The XIX International Conference “Data Analytics and Management in Data Inten­sive Domains” (DAMDID/RCDL’2017) will be held during 10 -13 October 2017 in Moscow at the Department of Computational Mathematics and Cybernetics of the Moscow State University. Information on transport and accommodation can be found at website. Two days before and after the conference it is planned also to organize in Moscow meetings and discussions with the conference participants at the institutes of the RAS, Moscow State University, Moscow Engineering and Physics Institute, along with some social program in Moscow.

Important dates

  • Submission deadline for papers June 18, 2017
  • Submission deadline for tutorials June 04, 2017
  • Notification of acceptance July 20, 2017
  • Deadline for camera-ready versions of the accepted papers August 15, 2017
  • Conference October 10-13, 2017

Categories of submissions. The conference structure will include the plenary keynotes and tutorials presented by the leading researchers, regular sessions containing regular and short presentations of the research results obtained in various conference tracks, as well as demo/poster sessions. English and Russian are official languages of the conference with the synchronous translation. For young researchers the PhD Workshop is planned. Co-located with the conference the Satellite events are also planned including workshops (open and by invitation) and invited sessions. Paper submission rules and templates can be found at the website.

Conference topics. The open list of topics proposed for submission is organized in form of the tracks presented in the list given below (detailed characterization of each track can be found at the website).

Tracks of the sphere for data analytics and problem solving in DID

  • Peculiarities of data in DID
  • Problem statement and solving in DID
  • Organization of experiments in DID
  • Hypotheses and models (as constituents of research experiments in DID)
  • Advanced data intensive analysis methods and procedures
  • Conceptual modeling of a universe of discourse in DID
  • Application of data intensive analysis in DID research

Tracks of the sphere for data management in DID

  • Data integration in DID
  • Data extraction from texts
  • Research data infrastructures and their applications in DID
  • Semantic Web role in DID

Conference Proceedings. Conference Proceedings will be published locally before the confe­rence as a collection of full texts of regular and short papers, abstracts of posters and demos. Texts of regular papers will be published in the European repository of the CEUR Workshop Proceedings. Furthermore, a volume of post-conference proceedings with selected and extended papers published before in CEUR WS will be published in English with Springer in their Com­munications in Computer and Information Science series. The papers published in CEUR WS as well as in Springer CCIS are indexed in Scopus.

Program Committee Co-chairs

  • Leonid Kalinichenko, Federal Research Center “Computer Science and Control” of RAS, Russia
  • Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece
  • Dmitry Namiot, Department of Computational Mathematics and Cyberntics of MSU, Russia

  • Monday, March 27, 2017

    DAMDID 2017

    Москва, МГУ, октябрь 2017

    Apologies for cross-postings. Please send this Call to your colleagues

    (Text of this Call in Russian is at the address)

    International Conference on “Data Analytics and Management in Data Intensive Domains”, DAMDID/RCDL’2017

    Moscow State University, October 10-13, 2017
    http://damdid2017.frccsc.ru/ru/conference_short.html

    Call for Contributions

    Aims and scope. Exponential growth of data practically in all activity areas, consolidating role to be played by informatics and IT for the development of methods and facilities for data analysis and management in various data intensive domains (DID), study of experience in applying these methods and stimulating their advancement have motivated organization of this conference. Main objective of this conference is to promote the acceleration of researches, improve­ment of their efficiency (quality and visibility of results, competitive ability) at the expense of the enhancement of methods and facilities for data analysis and management in DID. It is expected that the mutual complementarity of approaches in interdisciplinary DID will contri­bute to the creation of the corporate culture generalizing methods for data analysis and infrastructures development applicable in diverse DID.

    Target audience. DAMDID conference is a multidisciplinary forum of researchers and practi­tioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains (DID). For participation at the conference the specialists from such DID as X-informatics (where X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social science, economy, finance, etc., as well as specialists in the areas of statistics, informatics, data mining, machine learning, data science, new technologies and IT, business, etc. are invited.

    Host organizers

    • Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences (FRC CSC RAS)
    • Department of Computational Mathematics and Cybernetics of the Moscow State University (CMC MSU)
    • National Research Nuclear University MEPhI (NRNU MEPhI)
    • Moscow ACM SIGMOD Chapter

    Venue. The XIX International Conference “Data Analytics and Management in Data Inten­sive Domains” (DAMDID/RCDL’2017) will be held during 10 -13 October 2017 in Moscow at the Department of Computational Mathematics and Cybernetics of the Moscow State University. Information on transport and accommodation can be found at website. Two days before and after the conference it is planned also to organize in Moscow meetings and discussions with the conference participants at the institutes of the RAS, Moscow State University, Moscow Engineering and Physics Institute, along with some social program in Moscow.

    Important dates

    • Submission deadline for papers June 18, 2017
    • Submission deadline for tutorials June 04, 2017
    • Notification of acceptance July 20, 2017
    • Deadline for camera-ready versions of the accepted papers August 15, 2017
    • Conference October 10-13, 2017

    Categories of submissions. The conference structure will include the plenary keynotes and tutorials presented by the leading researchers, regular sessions containing regular and short presentations of the research results obtained in various conference tracks, as well as demo/poster sessions. English and Russian are official languages of the conference with the synchronous translation. For young researchers the PhD Workshop is planned. Co-located with the conference the Satellite events are also planned including workshops (open and by invitation) and invited sessions. Paper submission rules and templates can be found at the website.

    Conference topics. The open list of topics proposed for submission is organized in form of the tracks presented in the list given below (detailed characterization of each track can be found at the website).

    Tracks of the sphere for data analytics and problem solving in DID

    • Peculiarities of data in DID
    • Problem statement and solving in DID
    • Organization of experiments in DID
    • Hypotheses and models (as constituents of research experiments in DID)
    • Advanced data intensive analysis methods and procedures
    • Conceptual modeling of a universe of discourse in DID
    • Application of data intensive analysis in DID research

    Tracks of the sphere for data management in DID

    • Data integration in DID
    • Data extraction from texts
    • Research data infrastructures and their applications in DID
    • Semantic Web role in DID

    Conference Proceedings. Conference Proceedings will be published locally before the confe­rence as a collection of full texts of regular and short papers, abstracts of posters and demos. Texts of regular papers will be published in the European repository of the CEUR Workshop Proceedings. Furthermore, a volume of post-conference proceedings with selected and extended papers published before in CEUR WS will be published in English with Springer in their Com­munications in Computer and Information Science series. The papers published in CEUR WS as well as in Springer CCIS are indexed in Scopus.

    Program Committee Co-chairs

  • Leonid Kalinichenko, Federal Research Center “Computer Science and Control” of RAS, Russia
  • Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece
  • Dmitry Namiot, Department of Computational Mathematics and Cyberntics of MSU, Russia

  • Tuesday, February 21, 2023

    Все о блокчейн

    Треки конференции, посвященной блокчейн, отражают все аспекты пименения:

    Track 01: Artificial Intelligence and Machine Learning
    Blockchain based artificial Intelligent Systems applications in Computers and Communications
    Blockchain based AI and Robotics Technologies
    Blockchain based AI and cloud computing
    Blockchain based Economic paradigms and game theory
    Blockchain based Machine and Deep Learning of Knowledge
    Blockchain based Distributed Knowledge and Processing
    Blockchain based Humans-Agents Interactions / Human-Robot Interactions

    Track 02: IoT and Cyber-Physical Systems
    Blockchain-based IoT Applications and Services
    Blockchain-based security for the Internet of Things and cyber-physical systems
    Blockchain-based Internet of Things architectures and protocols
    Blockchain in Cyber Physical Systems (CPS)
    Blockchain-based application in Intelligent Manufacturing: Industrial Internet of Things,
    Blockchain and Secure Critical Infrastructure with Industry 4.0
    Intelligent manufacture and management
    Consensus and mining algorithms suited for resource-limited IoTs
    Blockchain-based Controlled mobility and QoS
    Blockchain-based energy optimization techniques in WSN
    Blockchain-based Software defined networks

    Track 03: Big Data
    Blockchain in Data Fusion
    Blockchain Analytics and Data mining
    Distributed data store for blockchain
    Distributed transaction for blockchain
    Blockchain based Data Science and Data Engineering
    Protocols for management and access using blockchains
    Blockchain architectures tailored for domain-specific applications

    Track 04: Security and Privacy on the Blockchain
    Authentication and authorization in Blockchain
    Applications of blockchain technologies in digital forensic
    Privacy aspects of blockchain technologies
    Blockchain-based threat intelligence and threat analytics techniques
    Blockchain-based open-source tools
    Forensics readiness of blockchain technologies
    Blockchain Attacks on Existing Systems
    Blockchain Consensus Algorithms
    Blockchain-based Intrusion Detection/Prevention
    Security and Privacy in Blockchain and Critical Infrastructure
    Attacks on Blockchain and Critical Infrastructure
    Blockchain and Secure Critical Infrastructure with Smart Grid

    Track 05: Metaverse and Digital Twin
    Blockchain in the metaverse
    Blockchain in the digital twin
    NFT Applications and protocols
    Edge computing for Internet of Metaverse
    Network security of the metaverse
    Digital twin and Metaverse privacy
    Consensus and mining algorithms suited for the metaverse
    Blockchain-based Controlled mobility and QoS in the metaverse
    Cybersecurity in the metaverse

    Track 06: Blockchain Research & Applications for Innovative Networks and Services
    State-of-the-art of the Blockchain technology and cybersecurity
    Blockchain-based security solutions of smart cities infrastructures
    Blockchain in connected and autonomous vehicles (CAV) and ITS)
    Blockchain Technologies and Methodologies
    Recent development and emerging trends Blockchain
    New models, practical solutions and technological advances related to Blockchain
    Theory of Blockchain in Cybersecurity
    Applications of blockchain technologies in computer & hardware security
    Implementation challenges facing blockchain technologies
    Blockchain in social networking
    Performance metric design, modeling and evaluation of blockchain systems
    Network and computing optimization in blockchains
    Experimental prototyping and testbeds for blockchains

    См. также другие публикации, посвященные блокчейн

    Wednesday, April 10, 2013

    Mining of Massive Datasets

    Полезная книга по Data Mining. Бесплатная загрузка. Что охвачено: Map-Reduce, Finding Similar Items, Mining Data Streams, Link Analysis, Frequent Itemsets, Clustering, Advertising on the Web, Recommendation Systems, Mining Social-Network Graphs

    Monday, July 13, 2009

    Data mining

    Выпущена новая версия Open Source пакета Java Data Mining

    Другие публикации см. здесь

    Friday, November 07, 2008

    Java data mining

    Open Source Java data mining пакет - jdmp. В первую очередь - матричные операции и обучение. Есть интерфейсы к WEKA

    Thursday, December 30, 2010

    Data mining

    Бесплатная книга по Data Mining. Это курс из Стенфорда. Хорошее чтение на каникулах ;-).

    Saturday, August 24, 2013

    Data Mining на Weka

    Почти каламбур - анализ данных навеки. А в реальности - онлайн курс Data Mining with Weka. Начинается в сентябре.

    P.S. см. здесь еще о Weka

    Saturday, December 22, 2012

    Data Mining

    Название говорит само за себя: Top 10 algoritms in Data Mining

    P.S. если вы читаете это, то конца света не было. Может он только по старому стилю?

    Saturday, February 23, 2013

    Data Mining в Google

    Коллекция публикаций от сотрудников Google по тематике Data Mining