Nov 12, 2019

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INDUSTRY COLLABORATION


Slovnaft - Exploratory data analysis (EDA) for proactive sale support in gas-station shop-chain (2017)

IISAS roles were focused on exploratory data analysis (EDA) to support proactive sale in shop-chain of the company based on historical transactional databases.

  • Exploratory data analysis (EDA)
  • Proactive shopping cart item predictor (demo)


MoBEV - Research in the security field of mobile device Big Data transfer and preparation of automated data privacy tools (2015)

External cybersecurity expertise for IBM Slovakia with Big Data technology in background. IISAS roles were focused on detection of potentially dangerous activities from logs of mobile devices using ML techniques

  • Malicious behaviour detection
  • Malicious event sequence detection
  • Intrusion Detection System (IDS) against DDOS
  • Process Mining and verification


MAGNETIC - Unified platform for target advertisement on the internet (2013 - 2015)

IISAS roles were focused on Big Data analysis:

  • Query Intent Categorization using Wikipedia (QICW)
  • Click-Through Rate (CTR prediction using online incremental ML techniques
  • Query Primary Language (QPL) based on keyboard identifications
  • User modelling
  • Fraud detection


CONNECTIK - Unified Communication & Collaboration Platform for Enterprises and Organizations That Innovate (2014 - 2015)

IISAS roles were focused on:

  • Semantic text processing
  • Semantic annotation
  • Semantic recommendation
  • User and group modelling


DISCOVERY - Information Processing and Search from the Web (2012 - 2013)

IISAS roles were focused on:

  • Crawling data from the web
  • Big data processing
  • Semantic annotation and searching
  • Semantic recommendation
  • Graph based search and recommendations

Search in BBC news with the semantic support Search and reasoning over BBC news
Search in Linkedin jobs with the semantic support Search in Linkedin jobs and CVs with the semantic support Comparing CVs and jobs description to support employers and employees to find suitable jobs

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