knime vs alteryx

Recently, I was told by my tutor to do something about data mining, so I learned how to mine data. First of all, there is a tool problem. For anyone who knows nothing about it, selecting a tool is really a problem. Think about it and find an open source tool. Of course, there are a lot of articles in this area, and there are also a lot of open-source data mining tools. After half a day, I finally selected KNIME. However Recently, I was told by my tut

Tags: Big data analytics knime machine learning Spark Modeling1. Knime Analytics InstallationDownload the appropriate version from the official website https://www.knime.com/downloadsUnzip the downloaded installation package on the installation path https://www.knime.com/installation-0is the Welcome page after the Knime launchDo I need to install

In this paper, based on the spark decision tree Model algorithm, we train the Titanic's training data set containing the characteristics of passengers and crew, obtain the survival model of decision tree, and test the model with test data set (Knime).1. Download training data set and test data set from Kaggle website2, in Knime to create a new workflow, named: Titanicknimespark3. Read the training data setK

analysis components, each node on the tree represents a different operator ). Yale provides a large number of operators, including data processing, transformation, exploration, modeling, and evaluation. Yale is developed in Java and built based on WEKA. That is to say, it can call various analysis components in WEKA. Knime Knime (Konstanz informationminer, http://www.knime.org) is a well-developed data mi

components in WEKA. Knime Knime (Konstanz informationminer, http://www.knime.org) is a well-developed data mining tool based on Eclipse development environment. No installation is required and it is easy to use (idmer: Haha, everyone's favorite green version ). Like Yale, knime is developed in Java and can be extended using the mining algorithm in WEKA. What's

, nothing can beat nltk. Nltk provides a language processing tool, including data mining, machine learning, data capturing, sentiment analysis, and other language processing tasks. All you need to do is install nltk and drag a package to your favorite task. Then you can do other things. Because it is written in Python, you can create an application on it and customize its small tasks. 4. Orange Python is popular because it is easy to learn and powerful. If you are a python developer and

provides statistical and cartographic techniques, including linear and nonlinear modeling, classical statistical testing, time series analysis, classification, collection, and so on.4. Orange Python is popular because it is easy to learn and powerful. If you're a python developer, there's nothing more appropriate than orange when it comes to finding a tool to work with. It is a python-based, powerful open source tool that works for both beginners and expert-level gods.In addition, you wil

. If you don't want to code, you can cull the data to Weka and select your algorithm from Drop-menu, set the parameters and Go. Moreover, you can call it functions from your Java code. It supports some other languages as well. Knime-albeit I am not very fan of those kind of tools, Knime is another example of the GUI based framework. You just define your work-flow by creating a visual work-flow. Carry some

powerful. If you're a python developer, there's nothing more appropriate than orange when it comes to finding a tool to work with. It is a powerful open source tool based on the Python language and applies to both beginners and expert-level gods.In addition, you will definitely fall in love with this tool for visual programming and Python scripting. It has not only machine learning components, but also the addition of biological information and text mining, can be said to be full of data analys

scientists, engineers, and students, jHepWork is a free open source data analysis framework that uses open source libraries to create a data analysis environment and provides a rich user interface to compete with those charged software. It is mainly for the scientific calculation of the two-and three-dimensional mapping, and contains the implementation of Java-based mathematical science library, random numbers, and other data mining algorithms. jHepWork is based on a high-level programming lang

Tags: Database program operating system PC userRecently, while working relatively idle, the computer's operating system has been re-installed, from the original XP replaced by WIN7 (64-bit), the results encountered a series of application data access problems. Question 1: Many of the small programs that I wrote with VS2010 are running in Win7, and the error is verified and the Access database is accessed. Question 2: knime, the analysis tool that you

Knowledge Analysis (Weka) (https://www.cs.waikato.ac.nz/ml/weka/) is a machine learning platform developed by New Zealand's Waikato University. Provides Java graphical user interface, command line interface and Java API interface. It is probably the most popular Java machine Learning Library and a good place to start or practice machine learning. Knime Constance Information Mining (knime) (https://www.knim

foundation of the above book, you can start to chew on some classic classics. The sequence of reading these famous books can be different or learned at the same time: Richard O. Duda's "pattern classification" book is a reference. many colleges and universities use this book as an Introduction to Data Mining. it is also my introductory book on data mining ). If you cannot read this book, you will find that when you study many problems, there are even some relatively simple problems (for example

[Www.csie.ntu.edu.tw /~ Cjlin/libsvm/* libsvm *]Http://www.cs.waikato.ac.nz/ml/weka/ * WEKA *][Http://yale.sf.net/* Yale *][Http://www.prtools.org/* prtools *][Http://bnt.sourceforge.net/* Bayes net toolbox *]Http://www.ncrg.aston.ac.uk/netlab/index.html * netlab *][Http://www.torch.ch/* torch *][Http://www.kyb.tuebingen.mpg.de/bs/people/spider/main.html * the spider *][Http://cmp.felk.cvut.cz/cmp/software/stprtool/index.html * stprtool *][Http://finalfantasyxi.inf.cs.cmu.edu/MATLABArsenal/MATLA

When it comes to data mining, we tend to focus on algorithms during modeling while ignoring other steps. In real world data mining projects, other steps are the key to determining project success or failure. Guide to intelligent data analysis is the book recommended by the knime official website (http://tech.knime.org/guide-to-intelligent-data-analysis), according to the CRISP-DM process describes the process of data mining process. Let's start with d

Shard data based on time-such as minutes, hours, months, years, and so on. Metering Device (Gauge): Latest value Metering: Latest value, run average, max, min For predictive analysis, Spring XD contains an extensible class library, based on which other implementations can be built. For example, the PMML module available on GitHub, which integrates with the Jpmml-evaluator Library, provides support for a wider range of model types and can be The Rattle,

PS: Due to space issues, this blog mainly introduces the project Understanding Problem in the data mining standardization process. The remaining five aspects are as follows, in particular, modeling and other components involving specific algorithms will be written in the follow-up blog in the form of open-source software such as orange and knime or some Python applets. Part of this article is translation, and some are some small experiences in data mi

Transferred from:Http://www.yeeach.com/2010/10/01/%E5%9F%BA%E4%BA%8Elucene%E5% AE %9E%E7%8E%B0%E8%87%AA%E5%B7%B1%E7%9A%84%E6%8E%A8%E8%8D%90%E5%BC%95%E6%93%8E/ Data mining-basedAlgorithmTo achieve the recommendation engine is the major e-commerce websites, SNSCommunityThe most common method is the content-based recommendation algorithm and collaborative filtering algorithm (item-based and user-based) the introduction to e-commerce recommendation system V2.0 and E-Commerce recommendation system

perspective of practical application, it is still very difficult for most small and medium-sized enterprises to fully adopt the above algorithms in e-commerce systems. 1) relatively mature, complete, and readily available open-source solutions Currently, open-source projects related to data mining and receng mainly include the following types: Data Mining: mainly including WEKA, R-project, knime, rapidminer, orange, etc. Text Mining: mainly i

DM. Recently, I decided to start it out of the database. Although Old Wang intends to engage in Oracle, it is still time to learn Oracle well. Next time .. The first is WEKA, and many other tools are also built on WEKA. A ustc Comrade established a WEKA Chinese forum.(Pentaho has been integrated. The latter is an excellent SF project in October. For details, see pentaho China community) Yale, knime, and alphaminer are more or less related to WEKA.