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  • This paper addresses a problem of knowledge discovery in big data from the point of view of theoretical computer science. Contemporary characterization of big data is often preoccupied by its volume, velocity of change, and variety that causes technical difficulties to handle the data efficiently while theoretical challenges that are offered by big data are neglected at the same time.
  • This paper addresses a problem of knowledge discovery in big data from the point of view of theoretical computer science. Contemporary characterization of big data is often preoccupied by its volume, velocity of change, and variety that causes technical difficulties to handle the data efficiently while theoretical challenges that are offered by big data are neglected at the same time. (en)
Title
  • Theoretical Challenges in Knowledge Discovery in Big Data: a logic reasoning and a graph theoretical point of view
  • Theoretical Challenges in Knowledge Discovery in Big Data: a logic reasoning and a graph theoretical point of view (en)
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  • Theoretical Challenges in Knowledge Discovery in Big Data: a logic reasoning and a graph theoretical point of view
  • Theoretical Challenges in Knowledge Discovery in Big Data: a logic reasoning and a graph theoretical point of view (en)
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  • RIV/00216208:11320/14:10287445!RIV15-MSM-11320___
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  • RIV/00216208:11320/14:10287445
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  • propositional satisfiability; graph drawing; graph theory; logic reasoning; data analysis; big data (en)
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  • Surynek, Pavel
  • Surynková, Petra
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  • 11320
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