Essays about: "Utility Metrics"

Showing result 1 - 5 of 26 essays containing the words Utility Metrics.

  1. 1. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Alexander Florean; [2024]
    Keywords : Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE

  3. 2. Data streaming provenance in advanced metering infrastructures

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Zozk Mohamed; [2023-11-24]
    Keywords : Advanced Metering Infrastructure; Ananke; Apache Flink; Göteborg Energi; Provenance; Stream processing; Stream Processing Engine;

    Abstract : Increasing volumes of data in digital systems have made the traditional approach of gathering and storing all the data while analyzing it in bulks at periodic intervals challenging and costly. One such field is the electric grid market, which has started modernizing its aging grids into smart grids where Advanced Metering Infrastructures (AMIs) play a vital role. READ MORE

  4. 3. Finding Causal Relationships Among Metrics In A Cloud-Native Environment

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Suresh Rishi Nandan; [2023]
    Keywords : Causality; Causal Discovery; Bayesian Network; Conditional Independence; Partial Correlation; Ensemble Causal Discovery; Anomaly Detection; Causal Graphs; Causality; Causal Discovery; Bayesian Network; Conditional Indeberoende; partiell korrelation; Ensemble Causal Discovery; Anomali Detektion; kausala grafer;

    Abstract : Automatic Root Cause Analysis (RCA) systems aim to streamline the process of identifying the underlying cause of software failures in complex cloud-native environments. These systems employ graph-like structures to represent causal relationships between different components of a software application. READ MORE

  5. 4. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Humphry Takang Bate; [2023]
    Keywords : ;

    Abstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE

  6. 5. Revisiting Tobin's Q: Integrating Intangible Capital into the Neoclassical Framework

    University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Author : Erick Momanyi; [2023]
    Keywords : Intangible capital; Tobin s Q; Organizational Capital; Investment; R D;

    Abstract : This paper seeks to replicate and extend the seminal work of Peters and Taylor (2017) on the relationship between intangible capital and the investment q ratios. Our study spans 1975 to 2021, investigating dynamics in firms' physical and intangible investments. We examine data from 1975 to 2021. READ MORE