4 papers:
ECIR-2015-Dutta #approximate #mining #named #statistics #string #using- MIST: Top-k Approximate Sub-string Mining Using Triplet Statistical Significance (SD), pp. 284–290.
VLDB-2007-BhattacharyaMS #distributed #modelling #named #network #query #statistics #using- MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models (AB, AM, AKS), pp. 854–865.
DAC-1994-Casavant #design #named #pipes and filters #programmable- MIST — A Design Aid for Programmable Pipelined Processors (AEC), pp. 532–536.
HT-ECHT-1992-MarshallR #case study #experience- Two Years before the Mist: Experiences with Aquanet (CCM, RAR), pp. 53–62.
