Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 16 of 16 for “"Weka"”.
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Authorship Attribution on the Enron Email Corpus
… to perform these tests. Three analysis methods: WEKA RandomForest, WEKA SMO, and Centroid with Cosine Distance were used. Results showed that the Large test set gave the best authorship classification, followed by the Medium, then the Small and the Tiny test sets. WEKA SMO gave better authorship …
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Memento
… bilanir sem hafa komið upp áður með hjálp WEKA. Memento flokkar skilaboð niður í níu skráningaflokka og birtir á einfaldan og skýran hátt þannig að kerfisstjórar og aðrir geta séð í hendi sér hvort óeðlileg staða sé í kerfum Vodafone. Með þessu styttist sá tími sem fer í greiningarvinnu í …
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Decision tree classifiers for incident call data sets
… Waikato Environment for Knowledge Analysis (WEKA) software. Finally, the records incorrectly assigned a subject by human operators were used for testing. The J48 algorithm gave the best performance and accuracy, and was able to correctly assign subjects to 81% of the records wrongly …
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Multi-dimensional clustering in user profiling
… Dichotomister 3 (Id3)) were performed on the WEKA (version 3.5.7) machine learning platform. WEKA serves as a workbench to work with a collection of popular learning schemes implemented in JAVA. In addition, the MDC-CC, MDC-BC and MDC-LZ have been implemented on NetBeans IDE 6.1 Beta as a JAVA …
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Classification of Arabic extremist web content through Arabic textual analysis
… results using more than six algorithms in the WEKA program. The researcher got very good results that make the judgment on this methodology success.This thesis employs a quantitative approach by using different algorithms (supervised) to build a model for data classification by using manually …
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Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing
… Java implementation of the C4.5 algorithm in the Weka data mining tool. In this paper, we present the method of improving accuracy for decision tree mining with data preprocessing. We applied the supervised filter discretization on J48 algorithm to construct a decision tree. We compared the …
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Using Visual Analytics to Discover Bot Traffic
… familiar with the Internet. To analyse the data, Weka 3.6.10 was used to perform classification based on a training dataset. The test dataset of all participants was evaluated using a built-in decision tree algorithm. The results of classifying the test dataset were promising, and the model was …
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Trophic State Monitoring Of Lakes And Reservoirs Using Remote Sensing
… the Waikato Environment for Knowledge Analysis (WEKA) software workbench were explored and tested. Optimal predictive models and settings were investigated for two meta-learner classifiers, three Bayesian classifiers and three decision tree classifiers. The Classification Via Regression yielded …
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Relative-fuzzy: a novel approach for handling complex ambiguity for software engineering of data mining models
… accuracy is higher than the best achievements of WEKA data mining machines given the same speech data.
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Possum (Trichosurus vulpecula) responses and preferences to novel objects in their environment
… but did allow non-target (rodent and weka) bait take from novel possum control devices to be examined and discussed. In conclusion, improving ground based possum control devices relies on increasing possum encounters and subsequent interactions with control devices. This research …
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Elliptical cost-sensitive decision tree algorithm - ECSDT
… obtained by applying some common algorithms from Weka to the same datasets such as J48, NBTree, MetaCost, and the CostSensitiveClassifier. The primary contribution of this research is the development of a new algorithm that shows the benefits of utilizing elliptical boundaries for cost-sensitive …
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Automatic and adaptive preprocessing for the development of predictive models.
… There are multiple software platforms like Weka and RapidMiner to create and run MCPSs including a large variety of pre-processing methods and predictors. There is, however, no common mathematical representation of MCPSs. An objective of this thesis is to establish a common representation …
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The use of knowledge discovery databases in the identification of patients with colorectal cancer
… carried out with data mining techniques and the WEKA package to identify the most accurate model. Both would then be compared with the accuracy of a colorectal specialist and GP.Analysis of the data identified that 24% of those referred on the 2 week wait referral pathway failed to meet referral …
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Palaeoecology and population demographics of the extinct New Zealand moa (Aves: Dinornithiformes).
… notabilis), takahe (Porphyrio hochstetteri) and weka (Gallirallus australis). In Chapters Six and Seven I analyse how moa species have responded to changes in climate and habitat since the Last Glacial Maximum (LGM; 29-19 Kya in New Zealand). Ancient DNA and fossil records are used to examine the …
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EXPLORING IMPACT OF EDUCATIONAL AND ECONOMIC FACTORS ON NATIONAL INTELLECTUAL PRODUCTIVITY USING MACHINE LEARNING METHODS
<p>The patent process is representative of a nationwide means for innovations and new ideas to be recognized. The U.S. Patents Office, since its inception in 1790, has issued nearly five million patents. These patents span from the U.S. Patent #1, which was for an improvement "in the making of Pot …
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Dolování dat z databází
Diplomová práce je zaměřená na představení možností data miningu. Data mining se zabývá odhalováním skrytých vazeb mezi data. Zájem o tuto oblast se datuje do 60. letech 20 století. Analýza dat našla uplatnění nejdříve v marketingu. Ovšem později se rozšířila do více oblastí a její možnosti stále …