human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "A geometric approach to monitoring threshold functions over distributed data streams"):
  Abstract: Monitoring data streams in a distributed system is the focus of much research in recent years. Most of the proposed schemes, however, deal with monitoring simple aggregated values, such as the frequency of appearance of items in the streams. More involved challenges, such as the important task of feature selection (e.g., by monitoring the information gain of various features), still require very high communication overhead using naive, centralized algorithms.   We present a novel geometric approach which reduces monitoring the value of a function (vis-a-vis a threshold) to a set of constraints applied locally on each of the streams. The constraints are used to locally filter out data increments that do not affect the monitoring outcome, thus avoiding unnecessary communication. As a result, our approach enables monitoring of arbitrary threshold functions over distributed data streams in an efficient manner.   We present experimental results on real-world data which demonstrate that our algorithms are highly scalable, and considerably reduce communication load in comparison to centralized algorithms.

Includes members:
  Member "Approximate counts and quantiles over sliding windows":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "New sampling-based summary statistics for improving approximate query answers")
  Member "New sampling-based summary statistics for improving approximate query answers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Dynamic generation of discrete random variates")
  Member "Probabilistic Threshold Based Monitoring Using Sensor Networks":
    also connected through other hyperedges:
      (none)

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science