Publications > Making Big Data Small

Big data ≠ MapReduce + machine learning.
Querying big data is as important as data mining.
MapReduce is not the only way to query big data, not even the best!
  1. Bounded Query Rewriting Using Views
    ACM Symposium on Principles of Database Systems (PODS), 2016
    Yang Cao, Wenfei Fan, Floris Geerts and Ping Lu
  2. Data Driven Approximation with Bounded Resources
    The 43rd International Conference on Very Large Data Bases (VLDB), 2017.
    Yang Cao, Wenfei Fan, Chunming Hu
  3. Querying Big Data by Accessing Small Data
    ACM Symposium on Principles of Database Systems (PODS), 2015.
    Wenfei Fan, Floris Geerts, Yang Cao, Ting Deng and Ping Lu
  4. Making Pattern Queries Bounded in Big Graphs
    The 31st International Conference on Database Engineering (ICDE), 2015
    Yang Cao, Wenfei Fan, and Ruizhe Huang
  5. Querying Big Graphs within Bounded Resources
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2014
    Wenfei Fan, Xin Wang, and Yinghui Wu
  6. Bounded Conjunctive Queries
    The 40th International Conference on Very Large Data Bases (VLDB), 2014.
    Yang Cao, Wenfei Fan, Tianyu Wo, and Wenyuan Yu
  7. Diversified Top-k Graph Pattern Matching
    The 40th International Conference on Very Large Data Bases (VLDB), 2014.
    Wenfei Fan, Xin Wang, and Yinghui Wu
  8. Answering Graph Pattern Queries Using Views
    The 30th International Conference on Database Engineering (ICDE), 2014.
    Wenfei Fan, Xin Wang, and Yinghui Wu
  9. Strong Simulation: Capturing Topology in Graph Pattern Matching
    ACM Transactions on Database Systems (TODS), 39(1), 2014
    Shuai Ma, Yang Cao, Wenfei Fan, Jinpeng Huai, and Tianyu Wo
  10. Incremental Graph Pattern Matching
    ACM Transactions on Database Systems (TODS) 38(3), 2013
    Wenfei Fan, Xin Wang, and Yinghui Wu
  11. Querying Big Social Data
    The 29th British National Conference on Databases (BNCOD) 2013 (invited)
    Wenfei Fan
  12. ExpFinder: Finding Experts by Graph Pattern Matching
    The 29th International Conference on Database Engineering (ICDE) (demo), 2013
    Wenfei Fan, Xin Wang, and Yinghui Wu