data-mining

ألمانية - التركية

تعريف data-mining في ألمانية التركية القاموس.: veri madenciliği

الإنجليزية - التركية

تعريف data-mining في الإنجليزية التركية القاموس.: veri madenciliği; (Kanun) veri madenciliği
datamining: veri madenciliği

ألمانية - الإنجليزية

تعريف data-mining في ألمانية الإنجليزية القاموس.: data mining; statistical data analysis (analysis of large data inventories to identify patterns and trends)

الإنجليزية - الإنجليزية

تعريف data-mining في الإنجليزية الإنجليزية القاموس.: A technique for searching large-scale databases for patterns; used mainly to find previously unknown correlations between variables that may be commercially useful; Nontrivial extraction of implicit, previously unknown and potentially useful information from data, or the search for relationships and global patterns that exist in databases [Bob Klevecz "The Whole EST Catalog" Scientist 12 (2): 22 Jan 18 1999] more Algorithms & data analysis glossary; A technique to analyse data in very large databases Analysis can reveal trends and patterns and can be used to improve vital business processes; Category of DBMS applications that seek to find new information and relationships within multiple, often heterogeneous, legacy data stores; for example, searching and analyzing customer sales transaction detail to determine buying habits by ZIP code or other demographic criteria See Active Data Warehousing page; Applications that retrieve data over the grid and apply an algorithm; under development; A technique of sifting through vast amounts of data to discover trends in customer needs, buying patterns, profitability, and other critical business measurements Usually requires the construction of a data warehouse; The practice of searching databases for hidden patterns of data which reveal additional information to create detailed profiles -- which may or may not be sold to third-parties; The comparison and study of large databases in order to discover new data relationships Mining a clinical database may produce new insights on outcomes, alternate treatments or effects of treatment on different races and genders; a type of application with built-in proprietary algorithms that sort, rank, and perform calculations on a specified and often large data set, producing visualizations that reveal patterns which may not have been evident from mere listings or summaries View records related to this term; Finding unexpected relationships in a data set Similar to exploratory data analysis Vitalnet is excellent at data mining Some say data dredging, since if you look long enough, you will always find unusual events just by chance; The process of discovering previously unknown information from the data in data warehouses; The process of analyzing large volumes of data using pattern recognition or knowledge discovery techniques to identify meaningful trends and relationships represented in data in large databases; searching, accessing, extracting and manipulating data in databases Exploration en profondeur de données; (Computers) data processing used to search for hidden information and hidden patterns in a group of data; Extraction of useful information from data sets Data mining serves to find information that is hidden within the available data; The function of database applications that probe for hidden or undiscovered patterns in given collections of data These applications use pattern recognition technologies as well as statistical and mathematical techniques and can have a key impact on the return on investment (ROI) for a technology expenditure upon discovering marketing or customer service data about one's clients Data mining is not simple, and most companies have not yet actively mined their data, though nearly all have plans to do so in the future; The process of using statistical techniques to discover subtle relationships between data items, and the construction of predictive models based on them The process is not the same as just using an OLAP tool to find exceptional items Generally, data mining is a very different and more specialist application than OLAP, and uses different tools from different vendors Normally the users are different, too OLAP vendors have had little success with their data mining efforts; Data mining involves collecting information from data stored in a database, for example in order to find out about people's shopping habits. Data mining is used to analyse individuals' buying habits. the process of using a computer to examine large amounts of information about customers, in order to discover things about them that are not easily seen or noticed. Type of database analysis that attempts to discover useful patterns or relationships in a group of data. The analysis uses advanced statistical methods, such as cluster analysis, and sometimes employs artificial intelligence or neural network techniques. A major goal of data mining is to discover previously unknown relationships among the data, especially when the data come from different databases. Businesses can use these new relationships to develop new advertising campaigns or make predictions about how well a product will sell. Governments also use these techniques to discern illegal or embargoed activities by individuals, associations, and other governments; A process of reviewing information in a database and making new connections among the information; Data mining entails analyzing information for previously undiscovered correlations between two markets Data mining connections can be made through associations (baseball fans also watch football), sequences (buying wood and then buying paint), forecasting (based on patterns found), and clustering (grouping information in a new way); Analyzing information in a database using tools that look for trends or anomalies without knowledge of the data's meaning Data mining is crucial in CRM strategies, particularly in e-commerce; As the term suggests, data mining is the analysis of data to establish relationships and identify patterns; refers to the many methods of data analysis(often using sophisticated algorithms) to answer open-endedquestions about your data Data mining is easily used by non-technical people and provides information in real time; data processing using sophisticated data search capabilities and statistical algorithms to discover patterns and correlations in large preexisting databases; a way to discover new meaning in data; The process of analyzing data to identify patterns or relationships; The analysis of database information; this usually involves identifying specific product information and codes, cleansing data and re-formatting it; The process of analyzing large amounts of data in order to extract new kinds of useful information (such as implicit relationships between different pieces of information); A technique using software tools geared for the user who typically does not know exactly what he's searching for, but is looking for particular patterns or trends Data mining is the process of sifting through large amounts of data to produce data content relationships This is also known as data surfing; An information extraction activity whose goal is to discover hidden facts contained in databases Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis