3 conferences in Computer Science and 3 conferences in Big Data

3 scholarly conferences that focus on algorithms, programming languages, managing telecommunications software engineering, managing corporate information resources, and managing partnership-based IT operations:

  1. Advance International Conference on Telecommunications: http://www.iaria.org/conferences2015/AICT15.html
  2. IEEE International Conference on Software, Telecommunications and Computer Networks (SoftCOM) http://www.globaleventslist.elsevier.com/events/2015/09/international-conference-on-software-telecommunications-and-computer-networks-softcom/
  3. IEEE Global Communication Conference Exhibition & Industry Forum (GLOBECOM) http://globecom2014.ieee-globecom.org/

3 conferences that cover Big Data:

1. IEEE International Conference on BigData: http://cci.drexel.edu/bigdata/bigdata2014/programschedule.htm

A conference that provides student travel awards to help subsidize the cost, thanks to the National Science Foundation. Held in Washington DC in 2014. They also provide a doctoral symposium. Keynote speeches include Never-ending language learning; Smart Data – How you and I will exploit Big Data for personalized digital health and many other activities; and Addressing Human Bottlenecks in Big data. Reading the keynote speeches’ abstracts I found this quote to be true at my job in the past year “… the key bottlenecks lie with data analysis and data engineers, who are routinely asked to work with data that cannot possibly be loaded into tools for statistical analytics or visualization.” (IEEE, 2014). Another Keynote talks about an Artificial Intelligence learning machine NELL (Never-Ending Language Learner) that runs 24 hours per day learning to read the web and extracting knowledge and creating beliefs. It is starting to reason over its extracted knowledge. It recently learned that “inaccuracy is an event outcome” (NELL, 2015)

2. Data Lead: http://www.datalead2014.com/

Held in Paris, France in 2015 and Berkeley, California near October and November months. It is their second year of this annual conference. It is in partnership with the University of California (Berkeley) Hass School of Business. Their goal is to spark an international conversation on the application of big data on business processes and issues. There is a particular focus on issues revolving around finance and a marketing, though they cater to the sciences, education, government, etc. They see big data as an economic commodity.

3. IARIA International Conference on Data Analytics: http://www.iaria.org/conferences2015/DATAANALYTICS15.html

Fourth conference held by IARIA, in Nice, France for 2015, during the middle of the year. Topics in their conferences deal with: Fundamentals, mechanisms, and features, sentiment/opinion analytics, target analytics, big data, knowledge discovery, visualization, filtering data, relevant/redundant/obsolete analytics, predictive, trust in data, legal issues, cyber threats, etc. They have two biannual peer-reviewed journals since 2008 associated with this group: International Journal on Advances in Software & International Journal on Advances in Intelligent Systems. Other conferences from IARIA: SoftNet, InfoWare, NetWare, NexTech, DataSys, BioSciencesWorld, Infosys, and NexComm, all in Europe.

3 Journals in Computer Science and 3 Journals in Big Data

3 journals that focus on algorithms, programming languages, managing telecommunications software engineering, managing corporate information resources, and managing partnership-based information technology (IT) operations:

Internal Journal of e-Collaboration: http://www.igi-global.com/journal/international-journal-collaboration-ijec/1090

It is a peer-reviewed journal that studies both in theory and practical findings that relate to implementation and design of collaboration tools: email, listservs, teleconferences, automate workflow, and demand management. This is extremely vital for those managers who feel that you can be a differentiator between groups and other companies via your application of collaboration tools. It is published quarterly, since 2005.

Journal of the ACM: http://jacm.acm.org/area/Programming+Languages

Editor and peer-reviewed process that covers articles about the design, semantics, implementation, and application of programming languages. Topics discussed: Parsing, compiling, optimization (like High-Performance Computing), run-time organization, data abstraction, modularity, parallelism, concurrency, domain and category theory, database systems and theory, algorithms and data structures, Artificial Intelligence, etc. Published bimonthly, since 1954.

European Association for Programming Languages and Systems (EAPLS E-journal): http://danae.uni-muenster.de/lehre/kuchen/JFLP/

A peer-reviewed process, which covers function and logic programming, with a focus on the integration of paradigms. Been in publication since 1995 and it publishes yearly.

3 journals that cover big data:

Big Data: http://www.liebertpub.com/overview/big-data/611/

Since 2013, this is a quarterly peer-reviewed journal. Reports on the current state of storing, organizing, protecting, manipulating large data sets. It also explores challenges and opportunities in data discovery.

Intelligent Data Analysis: http://www.iospress.nl/journal/intelligent-data-analysis/

Focused on Artificial Intelligence techniques in data analytics across all disciplines: visualization of data, data pre-processing, mining techniques, tools, and apps, machine learning, neural nets, fuzzy logic, stats pattern recognition, filtering, etc. 70% of papers are applications oriented and 30% is theoretical work. Published bimonthly and since 1996.

CODATA Data Science Journal: http://datascience.codata.org/

Biannual peer-reviewed e-journal since 2002, which covers: data, databases, processing, complexity, scalability, distribution, interaction, application, interface with experiments, models, and information complexes, etc.