Data Mining: What is Data Mining? Overview Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. Continuous Innovation Although data mining is a relatively new term, the technology is not. Example For example, one Midwest grocery chain used the data mining capacity of Oracle software to analyze local buying patterns. Data, Information, and Knowledge Data Data are any facts, numbers, or text that can be processed by a computer. operational or transactional data such as, sales, cost, inventory, payroll, and accounting nonoperational data, such as industry sales, forecast data, and macro economic data meta data - data about the data itself, such as logical database design or data dictionary definitions Information Knowledge Data Warehouses
Simple Complexity — Making Simple Sense From Complex Data Cool Infographics - Blog twistori Supports de cours -- Data Mining Cette page recense les supports utilisés pour mes enseignements de Machine Learning, Data Mining et de Data Science au sein du Département Informatique et Statistique (DIS) de l'Université Lyon 2, principalement en Master 2 Statistique et Informatique pour la Science des donnéEs (SISE), formation en data science, dans le cadre du traitement statistique des données et de la valorisation des big data. Je suis très attentif à la synergie forte entre l'informatique et les statistiques dans ce diplôme, ce sont là les piliers essentiels du métier de data scientist. Attention, pour la majorité, il s'agit de « slides » imprimés en PDF, donc très peu formalisés, ils mettent avant tout l'accent sur le fil directeur du domaine étudié et recensent les points importants. Cette page est bien entendu ouverte à tous les statisticiens, data miner et data scientist, étudiants ou pas, de l'Université Lyon 2 ou d'ailleurs. Nous vous remercions par avance. Ricco Rakotomalala – Université Lyon 2
Well-formed data Data Visualization and Infographics - Smashing Magazine Advertisement The main goal of data visualization is its ability to visualize data, communicating information clearly and effectivelty. It doesn’t mean that data visualization needs to look boring to be functional or extremely sophisticated to look beautiful. To convey ideas effectively, both aesthetic form and functionality need to go hand in hand, providing insights into a rather sparse and complex data set by communicating its key-aspects in a more intuitive way. Yet designers often tend to discard the balance between design and function, creating gorgeous data visualizations which fail to serve its main purpose — communicate information. In both print and web design infographics — visual representations of information, data or knowledge — are often used to support information, strengthen it and present it within a provoking and sensitive context, depending on designer’s creativity. Data Visualization and Infographics Virtual Water11Simple, clean, elegant and effective. George W.
Juice Analytics Much of what makes a great product manager is empathy and a desire to serve others. Tulsi demonstrates these qualities better than most I’ve come across. As you will see below, her passion for design as part of product management is only surpassed by that for her customers, products and causes. Oh, and there is usually much laughter involved. Enjoy and feel free to reach out to her at Even after years of product management experience at several companies, I still get frustrated when folks frequently say “So, you are a Project Manager”. With this in mind, let’s begin this discussion by describing what a Product Manager is. As Catherine Shyu, Product Manager at Send Grid puts so nicely: “Much of a Product Manager’s responsibility is to juggle multiple streams of conversation and move them towards closure.” Successful disruptive and innovative brands like Basecamp, Airbnb, Fab, and many others have proven that features alone don’t improve the sales.
5 of the Best Free and Open Source Data Mining Software The process of extracting patterns from data is called data mining. It is recognized as an essential tool by modern business since it is able to convert data into business intelligence thus giving an informational edge. At present, it is widely used in profiling practices, like surveillance, marketing, scientific discovery, and fraud detection. There are four kinds of tasks that are normally involve in Data mining: * Classification - the task of generalizing familiar structure to employ to new data* Clustering - the task of finding groups and structures in the data that are in some way or another the same, without using noted structures in the data.* Association rule learning - Looks for relationships between variables.* Regression - Aims to find a function that models the data with the slightest error. For those of you who are looking for some data mining tools, here are five of the best open-source data mining software that you could get for free: Orange RapidMiner Weka JHepWork