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Showing 1 to 6 of 6 for “"Scaling data"”.

  1. Scaling data mining activities on very large datasets

    … the issue of enhancing the scalability of data mining techniques, with specific emphasis on association rule and frequent itemset mining. In particular, it proposes a scalable itemset mining approach relying on (i) a persistent (disk-based) representation of the transactional data, (ii) …

    poli-torino Repository record for Scaling data mining activities on very large datasets (opens in a new tab)

  2. Optimizing Data Accesses for Scaling Data-intensive Scientific Applications

    Data-intensive scientific applications often process an enormous amount of data. The scalability of such applications depends critically on how to manage the locality of data. Our study explores two common types of applications that are vastly different in terms of memory access pattern and …

    vt Repository record for Optimizing Data Accesses for Scaling Data-intensive Scientific Applications (opens in a new tab)

  3. Motor data scaling by respiration frequencies in rest

    … in the different brain regions. Motor data acquired from fMRI scan is accompanied with signal due to hemodynamic changes taking place during the scan. This hemodynamic signal is dominated by parameter alteration in the large vessels of brain. Scaling of task induced BOLD signal with …

    njit Repository record for Motor data scaling by respiration frequencies in rest (opens in a new tab)

  4. Extracting fields from free-text

    … is designed to operate on small, sparse training data. As a result, users can provide few (less than 10) training examples to bootstrap the model. FEL offers 3 iterative mechanisms for scaling data quality as users provide guidance through additional feedback: (1) accept more training examples, …

    mit Repository record for Extracting fields from free-text (opens in a new tab)

  5. Human-centered Ambient Artificial Intelligence In Smart Buildings

    … natural-language queries across four residential datasets, the agent achieved 86% accuracy in device control, 74% in device scheduling, 77% in multi-step energy analysis, while indicating potential for improvement in cost management (49%). Furthermore, statistical analyses showed that the proposed …

    vt Repository record for Human-centered Ambient Artificial Intelligence In Smart Buildings (opens in a new tab)

  6. Observations of turbulence, internal waves and background flows : an inquiry into the relationships between scales of motion

    … examined to address the issue of the buoyancy scaling of ε. These data exhibited large variations in background stratification with depth, but the internal wave characteristics were not substantially differentiable from the GM prescription. The magnitude of ε and its functional dependence upon …

    woods-hole Repository record for Observations of turbulence, internal waves and background flows : an inquiry into the relationships between scales of motion (opens in a new tab)