Search for dissertations about: "production data mining"

Showing result 1 - 5 of 64 swedish dissertations containing the words production data mining.

  1. 1. Learning from Multi-Objective Optimization of Production Systems : A method for analyzing solution sets from multi-objective optimization

    Author : Catarina Dudas; Henrik Boström; Amos H.C. Ng; Johan Ölvander; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data mining; Post-optimization analysis; Production system analysis; data- och systemvetenskap; Computer and Systems Sciences;

    Abstract : The process of multi-objective optimization involves finding optimal solutions to several objective functions. However, these are typically in conflict with each other in many real-world problems, such as production system design. READ MORE

  2. 2. Mining Futures : Predictions and Uncertainty in Swedish Mineral Exploration

    Author : Tobias Olofsson; Patrik Aspers; Gholamreza Azarian; Trine Pallesen; Uppsala universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Uncertainty; Risk management; Sociology of the Future; Valuation; Justification; Mineral Exploration; Second Nature; Natural Resources; Sociologi; Sociology;

    Abstract : Any forward-oriented enterprise must somehow manage the challenges posed by uncertainty and with its distant temporal horizons, high stakes, and low probability of success, mineral exploration is a good illustration of this general rule. Based on a combination of interviews, observations, and archival research, this thesis investigates how explorationists use predictions to manage the material complexities and the uncertainties that contribute to determining the future minability of mineral deposits. READ MORE

  3. 3. Mining Big and Fast Data: Algorithms and Optimizations for Real-Time Data Processing

    Author : Muhammad Anis Uddin Nasir; Sarunas Girdzijauskas; Marta Patino-Martinez; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Stream Processing; Load Balancing; Fully Dynamic Graphs; Real-Time Data Processing; Top-k Densest Subgraph; Frequent Subgraph Mining; Informations- och kommunikationsteknik; Information and Communication Technology; Computer Science; Datalogi;

    Abstract : In the last decade, real-time data processing has attracted much attention from both academic community and industry, as the meaning of big data has evolved to incorporate as well the speed of data. The massive and rapid production of data comes via numerous services, i.e., Web, social networks, Internet of Things (IoT) and mobile devices. READ MORE

  4. 4. Together We Learn More : Algorithms and Applications for User-Centric Anomaly Detection

    Author : Ece Calikus; Sławomir Nowaczyk; Onur Dikmen; Stefan Byttner; Evgeny Burnaev; Högskolan i Halmstad; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; data mining; machine learning; anomaly detection; Smart Cities and Communities; Smarta städer och samhällen;

    Abstract : Anomaly detection is the problem of identifying data points or patterns that do not conform to normal behavior. Anomalies in data often correspond to important and actionable information such as frauds in financial applications, faults in production units, intrusions in computer systems, and serious diseases in patient records. READ MORE

  5. 5. A toolbox for co-production of knowledge and improved land use dialogues : the perspective of reindeer husbandry

    Author : Per Sandström; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : In northern Sweden, forestry, wind and hydropower, mining, infrastructure development and associated influence zones together constitute a complicated, land use situation that strongly impacts reindeer husbandry, a unique and extensive land use system. This situation has led to challenges for land managers and decision makers. READ MORE