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Data stream mining, the Glossary

Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records.^[1]

25 relations: Berlin, Big data, Cluster analysis, Concept drift, Data mining, Data stream, Germany, Hong Kong, Incremental learning, Knowledge extraction, Korea, Lambda architecture, Machine learning, Massive Online Analysis, Online machine learning, RapidMiner, Regression analysis, Scikit-multiflow, Seoul, Sequential pattern mining, Statistical classification, Stream processing, Streaming algorithm, Weka (software), Wireless sensor network.

Berlin

Berlin is the capital and largest city of Germany, both by area and by population.

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Big data

Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software.

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Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some specific sense defined by the analyst) to each other than to those in other groups (clusters). Data stream mining and cluster analysis are data mining.

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Concept drift

In predictive analytics, data science, machine learning and related fields, concept drift or drift is an evolution of data that invalidates the data model. Data stream mining and concept drift are data mining.

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Data mining

Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

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Data stream

In connection-oriented communication, a data stream is the transmission of a sequence of digitally encoded signals to convey information.

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Germany

Germany, officially the Federal Republic of Germany (FRG), is a country in Central Europe.

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Hong Kong

Hong Kong is a special administrative region of the People's Republic of China.

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Incremental learning

In computer science, incremental learning is a method of machine learning in which input data is continuously used to extend the existing model's knowledge i.e. to further train the model.

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Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources.

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Korea

Korea (translit in South Korea, or label in North Korea) is a peninsular region in East Asia consisting of the Korean Peninsula (label in South Korea, or label in North Korea), Jeju Island, and smaller islands.

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Lambda architecture

Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch and stream-processing methods.

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Machine learning

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data and thus perform tasks without explicit instructions.

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Massive Online Analysis

Massive Online Analysis (MOA) is a free open-source software project specific for data stream mining with concept drift.

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Online machine learning

In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update the best predictor for future data at each step, as opposed to batch learning techniques which generate the best predictor by learning on the entire training data set at once.

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RapidMiner

RapidMiner is a data science platform that analyses the collective impact of an organization's data.

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Regression analysis

In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables' or 'features').

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Scikit-multiflow

scikit-mutliflow (also known as skmultiflow) is a free and open source software machine learning library for multi-output/multi-label and stream data written in Python.

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Seoul

Seoul, officially Seoul Special City, is the capital and largest city of South Korea.

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Sequential pattern mining

Sequential pattern mining is a topic of data mining concerned with finding statistically relevant patterns between data examples where the values are delivered in a sequence. Data stream mining and Sequential pattern mining are data mining.

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Statistical classification

When classification is performed by a computer, statistical methods are normally used to develop the algorithm.

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Stream processing

In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views streams, or sequences of events in time, as the central input and output objects of computation.

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References

[1] https://en.wikipedia.org/wiki/Data_stream_mining

Also known as Stream learning.

Data stream mining, the Glossary

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References