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	Weka -- Facts, Info, and Encyclopedia article (Site not responding. Last check: 2007-11-06)
		The Weka or woodhen (Gallirallus australis) is an (A plant that is native to a certain limited area) endemic (Warm-blooded egg-laying vertebrates characterized by feathers and forelimbs modified as wings) bird of (An independent country within the British Commonwealth; achieved independence from the United Kingdom in 1907; known for sheep and spectacular scenery) New Zealand.
		Wekas are sturdy brown birds, about the size of a chicken: typically around 50 cm tall and weighing around 1 kg.
		Wekas were once common throughout New Zealand, but the population in the (The smaller but more populous of two main islands of New Zealand; separated from South Island by Cook Strait) North Island (subspecies G.
	www.absoluteastronomy.com /encyclopedia/w/we/weka.htm (303 words)

	TerraNature \| New Zealand Ecology - Weka
		The buff weka of the eastern South Island is extinct in that region.
		The Department of Conservation killed 400 buff weka in the Chatham Islands in 2003, to protect the critically endangered taiko which is one of the world's rarest seabirds, and the Chatham Islands oystercatcher.
		The decline of weka on the mainland has prevented Maori from continuing 'mahinga kai' harvesting, but some iwi are today expressing the need for conservation to allow the tradition to return.
	www.terranature.org /weka.htm (547 words)

	Data Mining Survivor: Weka - From University of Waikato
		WEKA (the Waikato Environment for Knowledge Analysis) is an open source and freely available workbench for applying machine learning techniques to practical problems, integrating many different machine learning tools within a common framework and a uniform, if basic but functional, user interface.
		WEKA incorporates over 60 machine learning techniques, ranging from traditional decision trees, association rules, clustering, through to modern random forests and support vector machines.
		A WEKA user is able to use machine learning techniques to derive useful knowledge from quite large databases.
	www.togaware.com /datamining/survivor/Weka.html (101 words)

	DOC: Native Animals: Weka (Site not responding. Last check: 2007-11-06)
		The weka is a large, brown flightless bird that has a famously feisty and curious personality.
		Buff weka are found on the eastern South Island and the Chatham Islands.
		Adult weka are taken by ferrets, chicks by ferrets and cats, and eggs by rats.
	www.doc.govt.nz /Conservation/001~Plants-and-Animals/001~Native-Animals/Weka.asp (672 words)

	CISC333 Data Mining (Site not responding. Last check: 2007-11-06)
		Clicking on the classifier tab after loading a dataset into Weka and selecting the choose tab will bring up a menu with a number of choices for the classifier that is to be applied to the dataset.
		Another fact to keep in mind is that Weka gives hints on how to achieve the same result from the command line: look at what is displayed next to the Choose button and how it changes with the options that you select.
		Weka also allows a user to select a URL as the source for a datafile (click on Open URL from the preprocess pane) or download data from a database (Open DB from the preprocess pane).
	www.qucis.queensu.ca /home/mcconell/WekaPart2.html (1086 words)

	Weka, Gallirallus australis (Site not responding. Last check: 2007-11-06)
		Wekas, or woodhens, are members of the rail family which are mainly aquatic birds, all capable of swimming well.
		The Weka can raise up to four chicks a year and breed all year round if conditions are suitable and so it is not unusual to see a chick in the winter time or see a female with a juvenile and a chick in tow.
		I salute you Weka, synonym for a thief.
	www.nzbirds.com /birds/weka.html (810 words)

	The WEKA machine learning workbench
		WEKA is a software workbench that provides a consistent graphical user interface to a variety of machine learning algorithms, and facilities of displaying and evaluating the output of those algorithms.
		WEKA is a prototype and as such is a little rough around the edges.
		WEKA must be used on an X-terminal-preferably a color X-term.
	pages.cpsc.ucalgary.ca /~ian/533/weka.instructions (595 words)

	CSC520 Fall 2002
		Weka (rhymes with "Mecca") is an open source set of Java programs for machine learning.
		The root of the Weka directory containing all necessary *.java files is currently mounted in /ncsu/csc520/common/.
		Weka is distributed under the GNU public license.
	www4.ncsu.edu /~bahler/courses/csc520f02/hw6.html (950 words)

	[No title] (Site not responding. Last check: 2007-11-06)
		Weka Intro ---------- by Yihua Wu Weka is a collection of machine learning algorithms for solving real-world data mining problems.
		Weka is open soure software issued under the GNU General Public License.
		Installation Weka is installed on the CS grad machines in /grad/s3/weka323.
	www.cs.rutgers.edu /~mlittman/courses/ml03/weka.txt (302 words)

	Weka (Site not responding. Last check: 2007-11-06)
		I wrote a backpropagation neural net classifier that is faster than the original Weka's NeuralNetwork, but compatible at the command line and gives exactly the same results if there are no missing attributes in the dataset.
		The class is compatible with the latest version of Weka (3-3-4), which has many changes in package names when compared to previous versions.
		A version compatible with Weka 3-2 (and other versions made available before the changes in package names) is available here.
	servidor.laps.ufpa.br /aldebaro/weka (441 words)

	[No title] (Site not responding. Last check: 2007-11-06)
		WEKA standards for Waikato Environment for Knowledge Analysis, which was developed at the University of Waikato in New Zealand.
		WEKA is extensible and has become a collection of machine learning algorithms for solving real-world data mining problems.
		WEKA contains a large variety of tools that can be used for pre-processing datasets, classification, regression, clustering, association riles, and visualization.
	gaia.ecs.csus.edu /~liuq/learning_experience_report.doc (304 words)

	Grid-enabled Weka: A Toolkit for Machine Learning on the Grid
		It is easily extensible, which allows researchers to contribute new learning algorithms to Weka, keeping it up-to-date with the latest developments in the field.
		As a result, Weka has become very popular with academic and industrial researchers, and is also widely used for teaching purposes.
		The Weka client is responsible for accepting a learning task and input data from a user and distributing the work on the Grid.
	www.ercim.org /publication/Ercim_News/enw59/khussainov.html (920 words)

	Classification via Decision Trees in WEKA (Site not responding. Last check: 2007-11-06)
		The sample data set used for this example, unless otherwise indicated, is the bank data available in comma-separated format (bank-data.csv).
		While the GUI version of WEKA is nice for visualizing the results and setting the parameters using forms, when it comes to building a classification (or predictions) model and then applying it to new instances, the most direct and flexible approach is to use the command line.
		The 2nd column is the predicted value of the "pep" attribute for the new instance.
	maya.cs.depaul.edu /~classes/ect584/WEKA/classify.html (1633 words)

	COMSM0300 Lab 1: Choice of learning algorithm
		The exercise has two aims (i) to familiarize you with Java-implemented machine learning tool WEKA, and (ii) to understand why the choice of a learning algorithm influences the performance on a given problem.
		WEKA has implemented many algorithms which you will learn during this unit.
		In the first exercise you will learn how to use the command-line interface of Weka - it will be useful for you whenever you will use weka classifiers in your own machine learning software that you may be designing in your professional life.
	www.cs.bris.ac.uk /Teaching/Resources/COMSM0300/labs/lab1 (774 words)

	Data Mining - Weka < Software
		Weka is a collection of machine learning algorithms for solving real-world data mining problems.
		Weka is also well-suited for developing new machine
		Weka is open source software issued under the GNU public license.
	www.the-data-mine.com /bin/view/Software/Weka (70 words)

	[No title]
		Weka programs can be run as follows: java weka.
		Note that this part of the command line is a path specifying a particular object in a class hierarchy defined in Weka's Java code.
		Note however that this refers to an older version of WEKA (it is also Chapter 8 of the textbook -- don't print this if you have the book!), and there are some differences with the way the new version operates e.g.
	odur.let.rug.nl /~james/MLcourse/UsingWeka (736 words)

	WEKA
		WEKA is easy to use and to be applied at several different levels.
		Besides actual learning schemes, WEKA also contains a large variety of tools that can be used for pre-processing datasets, so that you can focus on your algorithm without considering too much details as reading the data from files, implementing filtering algorithm and providing code to evaluate the results.
		Since WEKA is open source software issued under the GNU General Public License, you can use and modify the source code as you like.
	www.cs.iastate.edu /~cs573x/weka.html (905 words)

	Installing and running Weka on a Lunix machine (Site not responding. Last check: 2007-11-06)
		The instructions are designed for using Weka under Linux; as Weka is pure Java, feel free to do your work in a Windows environment instead.
		The Prime Directive in machine learning is that, in order to measure anything useful about a learned classifer, the test data with which it is evaluated must be distinct from the training data from which it was generated.
		In cross-validation (ie, invoking Weka with just the "-t" flag), Weka ensures that the training and test data are disjoint.
	www.cs.ucd.ie /staff/nick/home/COMP-4016/assignments/one/weka.html (542 words)

	Modified WEKA
		Weka is a collection of machine learning algorithms for data mining tasks.
		Since the Weka system is open source (convered by the GNU General Public License), people can modify the Weka system for their use, as seen in the large list of Weka related projects on their website.
		Savers: Originally, Weka only gives the option of saving to the ARFF file format, which is Weka's native file format.
	davis.wpi.edu /%7Exmdv/weka (954 words)

	Luigi Dragone Home Page - Spectral Clusterer for WEKA
		This is preliminary, but fully functional, implementation of the Spectral Clustering algorithm for the WEKA framework.
		WEKA is an Open Source Knowledge Discovering and Data Mining system developed in Java by the University of Waikato in New Zealand It offers many algorithms and tools commonly available only in commercial systems, but, differently from the last ones, it is open and freely expandable.
		WEKA is released under the GNU General Public License, while COLT is released under ad-hoc, but GNU GPL compatible, license, then the Spectral Clusterer is consequently released under GNU General Public License.
	www.luigidragone.com /datamining/spectral-clustering.html (1086 words)

	[No title]
		While WekaClassify was developed by Satanjeev Banerjee as a part of that package, we have found it generally useful and are distributing it separately as well, in the hopes that it will be useful for users of the machine learning suite Weka, regardless of their application area.
		WekaClassify carries out classification based on a previously learned model by Weka, and produces output such that each possible answer is "scored" based on whatever criteria the learned model might use (confidence scores, probabilities, etc.).
		This model has to be created by training some classifier (such as a decision tree, a neural network, a naive Bayesian classifier, etc) on training data consisting of instances of the same target word as that in the test arff file.
	www.d.umn.edu /~tpederse/Code/Readme.WekaClassify-0.4.txt (777 words)

	Machine Learning Project
		With it, a specialist in a particular field is able to use ML to derive useful knowledge from databases that are far too large to be analysed by hand.
		WEKA's users are ML researchers and industrial scientists, but it is also widely used for teaching.
		Found only on the islands of New Zealand, the weka is a flightless bird with an inquistive nature.
	www.cs.waikato.ac.nz /~ml (261 words)

	Weka Kennels - Rottweilers - Rottweiler Breeder - Ontario, Canada (Site not responding. Last check: 2007-11-06)
		Weka Kennels - Rottweilers - Rottweiler Breeder - Ontario, Canada
		At Weka Kennels, preserving the integrity of the Rottweiler breed is most important, so we are dedicated to temperament, correct structure, and all-round workability.
		"Of all the animals on Planet Earth, the dog is the most honest." At Weka Kennels, we try our best to emulate them.
	www3.sympatico.ca /wekakennels (85 words)

	WEKA - The Boxcooler Company
		WEKA has been manufacturing marine products since 1957.
		Weka offers a range of materials for different applications.
		WEKA has taken the boxcooler principle to new hights of performance.
	www.weka.biz (122 words)

	WekaMetal
		Weka and WekaMetal are written in Java, and have been tested with Java 1.3.
		If you are not familiar with Weka you will need to read the Weka documentation.
		Weka does a little dance when she is running classifiers, but not when ranking.
	www.cs.bris.ac.uk /~farrand/wekametal (829 words)

	Data mining (Site not responding. Last check: 2007-11-06)
		The WEKA [WEKA99] is a collection of data mining algorithms for solving real-world data mining problems.
		Most of the algorithms within the WEKA are well-studied and well-documented [Witten99].
		A regression tree is a decision tree whose leaves are the average value of the numeric classes that fall down each branch.
	scant.org /weka/weka.html (2781 words)

	Data Mining with Weka (Site not responding. Last check: 2007-11-06)
		Weka, from the University of Waikato, New Zealand, is a fully fledged research tool.
		Weka systems can be run stand alone or integrated into Java programs.
		Weka classifiers and filters are run from the command line.
	www.ryerson.ca /~dgrimsha/courses/cps820/DataMiningWeka.html (169 words)

	WEKA 3.1.6 README
		Datasets in WEKA have to be formatted according to the arff format.
		GUIs We now have two GUIs to make using Weka a little easier: one that acts much as the original interface to the old Weka 2 system, and one for conducting experiments.
		If you have implemented a learning scheme, filter, application, visualization tool, etc., using the WEKA classes, and you think it should be included in WEKA, send us the code, and we can put it in the next WEKA distribution.
	www.eecs.tufts.edu /~ablumer/weka/README.html (1394 words)

	ICML-2002 Tutorials
		Weka is an open-source Weka machine learning workbench, implemented in Java, that incorporates many popular algorithms and is widely used for practical work in machine learning.
		This tutorial is not intended as a comprehensive introduction to Weka: attendees are presumed to have some familiarity with it already.
		Neither does it reveal any secrets that are not in the current version of Weka: if you have fully explored the features in the latest distribution you do not need to attend the tutorial.
	www.cse.unsw.edu.au /~icml2002/tutorials/ICML-2002-Tuts.html (697 words)

	Grid Weka (Site not responding. Last check: 2007-11-06)
		This modification enables Weka to utilise resources of several computers when performing a number of functions.
		Weka is a widely used toolkit for machine learning and data mining originally developed at the University of Waikato in New Zealand.
		In the Grid-enabled Weka, execution of the following tasks can be distributed across several computers in an ad-hoc Grid: labelling of test data using a previously built classifier, testing a previously built classifier on a dataset, building a classifier on a remote machine, and cross-validation.
	smi.ucd.ie /~rinat/weka (426 words)

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