Sökning: "Temporal rule mining"
Visar resultat 1 - 5 av 6 avhandlingar innehållade orden Temporal rule mining.
1. Mining Futures : Predictions and Uncertainty in Swedish Mineral Exploration
Sammanfattning : 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. LÄS MER
2. Spatio-Temporal Data Mining for Location-Based Services
Sammanfattning : Largely driven by advances in communication and information technology, such as the increasing availability and accuracy of GPS technology and the miniaturization of wireless communication devices, Location–Based Services (LBS) are continuously gaining popularity. Innovative LBSes integrate knowledge about the users into the service. LÄS MER
3. From Numerical Sensor Data to Semantic Representations : A Data-driven Approach for Generating Linguistic Descriptions
Sammanfattning : In our daily lives, sensors recordings are becoming more and more ubiquitous. With the increased availability of data comes the increased need of systems that can represent the data in human interpretable concepts. LÄS MER
4. Essays on Development and Politics in Sub-Saharan Africa
Sammanfattning : Essay I: The African National Congress (ANC) can look back on eighty years of struggle which resulted in the liberation of black Africans, the creation of a democratic constitution and free elections. However, the last twenty years of ANC rule has been criticized for the failure to bring higher living standards for the formerly oppressed. LÄS MER
5. On Data Mining and Classification Using a Bayesian Confidence Propagation Neural Network
Sammanfattning : The aim of this thesis is to describe how a statisticallybased neural network technology, here named BCPNN (BayesianConfidence Propagation Neural Network), which may be identifiedby rewriting Bayes' rule, can be used within a fewapplications, data mining and classification with credibilityintervals as well as unsupervised pattern recognition.BCPNN is a neural network model somewhat reminding aboutBayesian decision trees which are often used within artificialintelligence systems. LÄS MER