Cross-industry standard process for data mining, known as CRISP-DM, is an open standard process model that describes common approaches used by data mining...

mining Interpretation/evaluation. It exists, however, in many variations on this theme, such as the Cross-industry standard process for data mining (CRISP-DM)...

industry study group Coral Reef Initiative for the South Pacific, a French inter-ministerial project Cross-industry standard process for data mining (CRISP-DM)...

for the diversified and iterative process of data mining that users can apply to their data mining projects regardless of industry. While the Cross Industry...

Data mining, the process of discovering patterns in large data sets, has been used in many applications. In business, data mining is the analysis of historical...

writing and data mining. Typical applications of OLAP include business reporting for sales, marketing, management reporting, business process management...

leverage data in production in recent years due to a number of different factors: More affordable sensors and the automated process of data acquisition;...

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions...

regular and irregular grid data cubes, based on the concept of coverage data. An industry standard for querying business data cubes, originally developed...

standard in the tungsten market". A decade after the closure of the KTMC in 1994, mining rights to the Sangdong mine were acquired by Woulfe Mining Corporation...

standardized data, and provide common data views across collaborative partners. Support cross-trial analyses for data mining and help detect clinical trends...

60 percent of total mining production are accounted for by non-metallic minerals, which contributed substantially to the industry's steady output growth...

variety of industries including oil and gas, wastewater, food and beverage, utilities, energy, research, transportation, chemical processing, mining, aerospace...

more detailed competencies and qualifications for cross-border labor mobility. This adaptation process involves mapping national job structures to ISCO...

related to web resources. Such standards also address broader topics of interoperability, such as allowing data mining. With respect to software, the...

language for annotating text input to speech synthesizers. Job Definition Format: a standard developed by the graphic arts industry to facilitate cross-vendor...

inter-process (via sockets) and intra-process (via shared memory) blackboard-based communication and a linking technique that allows for input/output data ports...

from customer data to provide a 360° view of the client. Forecasting buying habits and lifestyle preferences is a process of data mining and analysis....

around 70% of the total GDP, industry 29.1%, and agriculture 0.9%. In 2010 agriculture, forestry, and mining accounted for only 0.9% of Germany's gross...

component of Poland's economy is the service sector (62.3%), followed by industry (34.2%) and agriculture (3.5%). Following the economic reform of 1989,...

material for the CPP, and consists of coal, rocks, middlings, minerals and contamination. Contamination is usually introduced by the mining process and may...

comprise the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysis (EDA) via unsupervised learning...

space industry standards. SimPy – Queue-theoretic event-based simulator written in Python Salome – a generic platform for Pre- and Post-Processing for numerical...

graphics cards for general-purpose computing. Applications of general-purpose computing on graphics cards include AI training, cryptocurrency mining, and molecular...

clothes iron crossed out with an X) on the label. Most standards are voluntary in the sense that they are offered for adoption by people or industry without...

functions for social network analysis and entity analytics. IBM SPSS Statistics List of statistical packages Cross Industry Standard Process for Data Mining "Oh...

the dynamic and adaptive nature of profiling is the Cross-Industry Standard Process for Data Mining (CRISP-DM). In order to clarify the nature of profiling...

largest industries are electronics (21.6% - very old data), machinery, vehicles and other engineered metal products (21.1%), forest industry (13.1%),...

to slash fuel aid". BBC News. 31 August 2005. "Coal Mining in Indonesia - Indonesian Coal Industry | Indonesia Investments". indonesia-investments.com...

Data collection system (DCS) is a computer application that facilitates the process of data collection, allowing specific, structured information to be...