- Cutting Down Implementation Time by Integrating Jupyter and KNIME - Dec 23, 2021.
Are you a KNIME fan or a Jupyter fan? Well, here you don’t have to choose.
Analytics, Data Science, Jupyter, Knime
- Movie Recommendations with Spark Collaborative Filtering - Dec 1, 2021.
Not sure what movie to watch? Ask your recommender system.
Apache Spark, Collaborative, Knime, Low-Code, Recommender Systems
- Sentiment Analysis with KNIME - Nov 29, 2021.
Check out this tutorial on how to approach sentiment classification with supervised machine learning algorithms.
Knime, NLP, Sentiment Analysis, Text Analytics
- Visual Scoring Techniques for Classification Models - Nov 3, 2021.
Read this article assessing a model performance in a broader context.
Classification, Knime, Low-Code, Machine Learning, Metrics, Visualization
- Multivariate Time Series Analysis with an LSTM based RNN - Oct 29, 2021.
Check out this codeless solution using the Keras integration.
Keras, Knime, Low-Code, LSTM, Time Series
- How to Create an Interactive Dashboard in Three Steps with KNIME Analytics Platform - Oct 19, 2021.
In this blog post I will show you how to build a simple, but useful and good-looking dashboard to present your data - in three simple steps!
Analytics, Dashboard, Data Visualization, Knime, Platform
- The Best Tool for Data Blending is KNIME - Jan 13, 2021.
These are the lessons and best practices I learned in many years of experience in data blending, and the software that became my most important tool in my day-to-day work.
Data Exploration, Data Management, ETL, Knime
- Resampling Imbalanced Data and Its Limits - Dec 22, 2020.
Can resampling tackle the problem of too few fraudulent transactions in credit card fraud detection?
Balancing Classes, Bootstrap sampling, Fraud Detection, Knime, Sampling, Unbalanced
- Mastering Time Series Analysis with Help From the Experts - Oct 28, 2020.
Read this discussion with the “Time Series” Team at KNIME, answering such classic questions as "how much past is enough past?" others that any practitioner of time series analysis will find useful.
Interview, Knime, Rosaria Silipo, Time Series
- Missing Value Imputation – A Review - Sep 29, 2020.
Detecting and handling missing values in the correct way is important, as they can impact the results of the analysis, and there are algorithms that can’t handle them. So what is the correct way?
Data Preprocessing, Knime, Machine Learning, Missing Values
Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms - Feb 24, 2020.
The Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms has the largest number of leaders ever. We examine the leaders and changes and trends vs previous years.
Alteryx, Data Science Platform, Databricks, Dataiku, DataRobot, Domino, Gartner, Google, H2O, IBM, Knime, Machine Learning, Magic Quadrant, MathWorks, Microsoft Azure, RapidMiner, SAS, TIBCO
- Time Series Analysis: A Simple Example with KNIME and Spark - Oct 23, 2019.
The task: train and evaluate a simple time series model using a random forest of regression trees and the NYC Yellow taxi dataset.
Apache Spark, Knime, Rosaria Silipo, Seasonality, Time Series
Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms - Feb 11, 2019.
We compare Gartner 2019 MQ for Data Science, Machine Learning Platforms to its previous versions and identify notable changes for leaders and challengers, including RapidMiner, KNIME, TIBCO, Alteryx, Dataiku, SAS, and MathWorks.
Alteryx, Data Science Platform, Dataiku, DataRobot, Gartner, Google, H2O, IBM, Knime, Machine Learning, Magic Quadrant, MathWorks, Microsoft, RapidMiner, SAS, TIBCO
Industry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019 - Dec 18, 2018.
This is a collection of data science, machine learning, analytics, and AI predictions for next year from a number of top industry organizations. See what the insiders feel is on the horizon for 2019!
2019 Predictions, AI, Analytics, Data Science, Domino, dotData, Figure Eight, Industry, Knime, Machine Learning, MapR, MathWorks, OpenText, ParallelM, Salesforce, Splice Machine, Splunk
- Four Techniques for Outlier Detection - Dec 6, 2018.
There are many techniques to detect and optionally remove outliers from a dataset. In this blog post, we show an implementation in KNIME Analytics Platform of four of the most frequently used - traditional and novel - techniques for outlier detection.
DBSCAN, Knime, Outliers, Python
- Principles of Guided Analytics - Mar 27, 2018.
KNIME outline their guided analytics system and explain how this can assist data scientists to predict future outcomes.
Analytics, Data Preparation, Knime, Michael Berthold, Workflow
Gainers and Losers in Gartner 2018 Magic Quadrant for Data Science and Machine Learning Platforms - Feb 27, 2018.
We compare Gartner 2018 Magic Quadrant for Data Science, Machine Learning Platforms vs its 2017 version and identify notable changes for leaders and challengers, including IBM, SAS, RapidMiner, KNIME, Alteryx, H2O.ai, and Domino.
Alteryx, Anaconda, Angoss, Data Science Platform, Domino, Gartner, H2O, IBM, Knime, Machine Learning, Magic Quadrant, RapidMiner, SAS
Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions - Apr 14, 2017.
Who leads in Data Science, Machine Learning, and Predictive Analytics? We compare the latest Forrester and Gartner reports for this industry for 2017 Q1, identify gainers and losers, and strong leaders vs contenders.
Data Science Platform, Forrester, Gartner, IBM, Knime, Machine Learning, Mike Gualtieri, Predictive Analytics, RapidMiner, SAS
Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers - Feb 23, 2017.
We compare Gartner 2017 Magic Quadrant for Data Science Platforms vs its 2016 version and identify notable changes for leaders and challengers, including IBM, SAS, RapidMiner, KNIME, MathWorks, Microsoft, and Quest.
Data Science Platform, Gartner, IBM, Knime, Magic Quadrant, MathWorks, Microsoft, Quest, RapidMiner, SAS
Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers - Feb 16, 2016.
We compare Gartner 2016 Magic Quadrant Advanced Analytics Platforms vs its 2015 version and identify notable changes for leaders and challengers: SAS, IBM, RapidMiner, KNIME, Dell, Angoss, and Microsoft.
Advanced Analytics, Dell, Gartner, IBM, Knime, Magic Quadrant, RapidMiner, SAS
- Anomaly Detection in Predictive Maintenance with Time Series Analysis - Dec 9, 2015.
How can we predict something we have never seen, an event that is not in the historical data? This requires a shift in the analytics perspective! Understand how to standardization the time and perform time series analysis on sensory data.
Anomaly Detection, Knime, Rosaria Silipo, Time Series
- Which Big Data, Data Mining, and Data Science Tools go together? - Jun 11, 2015.
We analyze the associations between the top Big Data, Data Mining, and Data Science tools based on the results of 2015 KDnuggets Software Poll. Download anonymized data and analyze it yourself.
Apache Spark, Data Mining Software, Excel, Hadoop, Knime, Poll, Python, R, RapidMiner, SQL
- R leads RapidMiner, Python catches up, Big Data tools grow, Spark ignites - May 25, 2015.
R is the most popular overall tool among data miners, although Python usage is growing faster. RapidMiner continues to be most popular suite for data mining/data science. Hadoop/Big Data tools usage grew to 29%, propelled by 3x growth in Spark. Other tools with strong growth include H2O (0xdata), Actian, MLlib, and Alteryx.
Actian, Apache Spark, Data Mining Software, H2O, Knime, Poll, Python, R, RapidMiner, SQL
- Seven Techniques for Data Dimensionality Reduction - May 14, 2015.
Performing data mining with high dimensional data sets. Comparative study of different feature selection techniques like Missing Values Ratio, Low Variance Filter, PCA, Random Forests / Ensemble Trees etc.
Data Processing, High-dimensional, Knime, Rosaria Silipo
- Taming the Internet of Things – KNIME Case Study - Sep 30, 2014.
With increasing interest in the Internet of Things (IoT), see how KNIME can be applied to collect data from IoT sensors, enrich that data, transform it, analyze it, and finally visualize it.
Internet of Things, IoT, Knime, Rosaria Silipo, Smart City
- Interview: Michael Berthold, President and Founder of KNIME, on Data Mining, Startups, and Visual Workflow - Aug 9, 2014.
We discuss KNIME key features and how it compares to competition, KNIME business model, Pharma, planned development, and transition from an academic project to a company.
Knime, Konstanz University, Michael Berthold, Open Source
- Top 10 Data Analysis Tools for Business - Jun 13, 2014.
Ten free, easy-to-use, and powerful tools to help you analyze and visualize data, analyze social networks, do optimization, search more efficiently, and solve your data analysis problems.
Data Analysis, Knime, RapidMiner, Tableau, Top 10, Wolfram
- KDnuggets 15th Annual Analytics, Data Mining, Data Science Software Poll: RapidMiner Continues To Lead - Jun 7, 2014.
With over 3,000 data miners taking part in KDnuggets 15th Annual Software Poll, RapidMiner continues to lead. Free software is used much more outside US, and Hadoop usage grows fastest in Asia.
Data Mining Software, Excel, Hadoop, Knime, Poll, Python, R, RapidMiner, SAS, SQL, SQL Server, Weka
- SAS, IBM, RapidMiner, Knime leaders in Gartner MQ for Advanced Analytics Platforms - Feb 24, 2014.
Gartner new Magic Quadrant(tm) for Advanced Analytics Platforms names 4 companies as leaders: SAS, IBM, RapidMiner, and Knime. A copy of the report, with evaluations for 15 more companies, is available thanks to RapidMiner.
Advanced Analytics, Gartner, IBM, Knime, Magic Quadrant, RapidMiner, SAS
