Sökning: "KDD"
Visar resultat 6 - 10 av 14 uppsatser innehållade ordet KDD.
6. Evaluating Frameworks for Implementing Machine Learning in Signal Processing : A Comparative Study of CRISP-DM, SEMMA and KDD
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Machine learning is when a computer can learn from data and draw its own conclusions without being explicitly programmed to do so. To implement machine learning effectively and correctly, it is important to have a structured framework to follow. LÄS MER
7. Knowledge Discovery and Data Mining Using Demographic and Clinical Data to Diagnose Heart Disease.
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Cardiovascular disease (CVD) is the leading cause of morbidity, mortality, premature death and reduced quality of life for the citizens of the EU. It has been reported that CVD represents a major economic load on health care sys- tems in terms of hospitalizations, rehabilitation services, physician visits and medication. LÄS MER
8. Knowledge discovery and machinelearning for capacity optimizationof Automatic Milking RotarySystem
Master-uppsats, KTH/KommunikationsteoriSammanfattning : Dairy farming as one part of agriculture has thousands of year’s history. The increasingdemands of dairy products and the rapid development of technology bring dairyfarming tremendous changes. Started by first hand milking, dairy farming goes throughvacuum bucket milking, pipeline milking, and now parlors milking. LÄS MER
9. Literature Study and Assessment of Trajectory Data Mining Tools
Kandidat-uppsats, KTH/GeoinformatikSammanfattning : With the development of technologies such as Global Navigation Satellite Systems (GNSS), mobile computing, and Information and Communication Technology (ICT) the procedure of sampling positional data has lately been significantly simplified. This enables the aggregation of large amounts of moving objects data (i.e. LÄS MER
10. Data Mining for Network Intrusion Detection : A comparison of data mining algorithms and an analysis of relevant features for detecting cyber-attacks
Kandidat-uppsats, Mittuniversitetet/Avdelningen för informations- och kommunikationssystemSammanfattning : Data mining can be defined as the extraction of implicit, previously un-known, and potentially useful information from data. Numerous re-searchers have been developing security technology and exploring new methods to detect cyber-attacks with the DARPA 1998 dataset for Intrusion Detection and the modified versions of this dataset KDDCup99 and NSL-KDD, but until now no one have examined the performance of the Top 10 data mining algorithms selected by experts in data mining. LÄS MER