Essays about: "Weka tool"
Showing result 1 - 5 of 7 essays containing the words Weka tool.
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1. Fitness Function for a Subscriber
University essay from Blekinge Tekniska Högskola/Institutionen för kommunikationssystemAbstract : Mobile communication has become a vital part of modern communication. The cost of network infrastructure has become a deciding factor with rise in mobile phone usage. Subscriber mobility patterns have major effect on load of radio cell in the network. The need for data analysis of subscriber mobility data is of utmost priority. READ MORE
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2. Classification of Drill Core Textures for Process Simulation in Geometallurgy : Aitik Mine, Sweden
University essay from Luleå tekniska universitet/Mineralteknik och metallurgiAbstract : This thesis study employs textural classification techniques applied to four different data groups: (1) visible light photography, (2) high-resolution drill core line scan imaging (3) scanning electron microscopy backscattered electron (SEM-BSE) images, and (4) 3D data from X-ray microtomography (μXCT). Eleven textural classes from Aitik ores were identified and characterized. READ MORE
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3. Classifying receipts or invoices from images based on text extraction
University essay from Linnéuniversitetet/Institutionen för datavetenskap (DV)Abstract : Nowadays, most of the documents are stored in electronic form and there is a high demand to organize and categorize them efficiently. Therefore, the field of automated text classification has gained a significant attention both from science and industry. READ MORE
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4. Customer Churn Prediction Using Big Data Analytics
University essay from Blekinge Tekniska Högskola/Institutionen för kommunikationssystemAbstract : Customer churn is always a grievous issue for the Telecom industry as customers do not hesitate to leave if they don’t find what they are looking for. They certainly want competitive pricing, value for money and above all, high quality service. Customer churning is directly related to customer satisfaction. READ MORE
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5. Evaluating supervised machine learning algorithms to predict recreational fishing success : A multiple species, multiple algorithms approach
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : This report examines three different machine learning algorithms and their effectiveness for predicting recreational fishing success. Recreational fishing is a huge pastime but reliable methods of predicting fishing success have largely been missing. READ MORE