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Data Matching

Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task;

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Uncertain Schema Matching

Schema matching is the task of providing correspondences between concepts describing the meaning of data in various heterogeneous;

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Statistical Matching

common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. Statistical Matching: Theory and;

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Schema Matching and Mapping

authors describe the state of the art by discussing the latest achievements such as more effective methods for matching data, mapping;

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XML Schema Matching

be determined solely by the words in its label. Thirdly, it is difficult to correctly identify the best set of matching pairs for all data;

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Analytic Pattern Matching

How do you distinguish a cat from a dog by their DNA? Did Shakespeare really write all of his plays? Pattern matching techniques can offer;

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Statistical Properties of Statistical Matching

Statistical matching, or data fusion, merges microdata from sample surveys. The goal is to create a synthetic file with a merged set;

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Database and Expert Systems Applications

Matching; Data Modeling, Data Abstraction, and Uncertainty; Preferences and Query Optimization; Data Integration and RDF Matching; Security and;

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Database and Expert Systems Applications

Matching; Data Modeling, Data Abstraction, and Uncertainty; Preferences and Query Optimization; Data Integration and RDF Matching; Security and;

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Combinatorial Pattern Matching

This book constitutes the refereed proceedings of the 26th Annual Symposium on Combinatorial Pattern Matching, CPM 2015, held on Ischia;

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Combinatorial Pattern Matching

This book constitutes the refereed proceedings of the 23rd Annual Symposium on Combinatorial Pattern Matching, CPM 2012, held in Helsinki;

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Matching, Regression Discontinuity, Difference in Differences, and Beyond

This book reviews the three most popular methods (and their extensions) in applied economics and other social sciences: matching;

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Guerilla Data Analysis Using Microsoft Excel

useful information quickly. Topics include perfectly sorting with one click every time, matching lists of data, data consolidation, data;

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Language, Corpora and Cognition

This book focuses on matching theoretical predictions about language and cognition against empirical language data. The contributions use;

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Linguistic Identity Matching

data management processes. Following years of struggling with computational techniques, the new linguistic identity matching approach finally;

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Assisted History Matching for Unconventional Reservoirs

matching algorithms including visuals on advantages and limitations of each model Captures data on uncertainties of fractures and;

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Computational Intelligence in Pattern Recognition

neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining;

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Mismatch Explanations of European Unemployment

on trended data, and thus gives rise to spurious statistical results. To get around the problem, the author uses the dynamic flow approach to;

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Oracle Regular Expressions Pocket Reference

Oracle has long supported the ANSI-standard LIKE predicate for rudimentary pattern matching, but regular expressions take pattern matching;

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Introducing Erlang

by teaching you one basic skill at a time. You'll learn about pattern matching, recursion, message passing, process-oriented programming, and;

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Contactless 3D Fingerprint Identification

in 3D space, providing details on recovering these features from point cloud data, and on matching such 3D minutiae templates; reviews various;

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Advances in Databases and Information Systems

; subsequence matching and streaming data; OLAP; graph databases; spatial data management; parallel and distributed data processing; query optimization;

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Lectures on Mathematics in the Life Sciences 18th Annual Symposium

Several data banks around the world are accumulating DNA sequences at a feverish rate, with tremendous potential for furthering our;

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Data Integration in the Life Sciences

This book constitutes the refereed proceedings of the 9th International Conference on Data Integration in the Life Sciences, DILS 2013;

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Spatial Epidemiological Approaches in Disease Mapping and Analysis

book illustrates the utilities of the software using real-world data. Additional topics include geographic data models, address matching;

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Spatial Epidemiological Approaches in Disease Mapping and Analysis

book illustrates the utilities of the software using real-world data. Additional topics include geographic data models, address matching;

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Matching

Matching is een boek van Matthias Fiedler;

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