modelling approaches and data models
Query Languages and Data Models for Database Sequences and Data Streams doc
... the database and controls the movement of the cursor via get-next statements But as data streams arrive furiously and continuously, the data stream manager cannot hold the current tuple, and ... takes new tuples and a current state and output new tuples and a modified state and pass, prop, keep are three behavior functions that take punctuation marks and state as input and returns additional ... This program and its RA equivalent defines the two queries pUq and coalscp, the first on P and Q and the second on P only We will refer to them as the coalesce query and the until query, and observe...
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designing data services and data models
... Identifying Data- Related Use Cases and Data Requirements Objectives Before You Begin Exercise 1: Identifying Use Cases that Require Data Exercise 2: Identifying Hidden Data ... Media, and PowerPoint are either registered trademarks or trademarks of Microsoft Corporation in the U.S.A and/ or other countries The names of companies, products, people, characters, and/ or data ... change without notice The names of companies, products, people, characters, and/ or data mentioned herein are fictitious and are in no way intended to represent any real individual, company, product,...
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Springer supply chain management with APO structures modelling approaches and implementation of mySAP SCM 4 1 2nd edition ISBN3540260293
... the Data 4.2 Data Structure for Demand Planning 4.2.1 Characteristics, Key Figures and Structure Overview The display of the data and the planning is performed in planning books To help understanding ... functionalities and modelling possibilities – since the modelling approaches are nearly unlimited and the product is still evolving, this would be impossible Instead the focus is set on explaining common approaches ... of the functions and the business areas and an agreement about the scope and the modelling approach To avoid misunderstandings due to working on a high level of abstraction and to ensure the...
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Data Models, Datasets, and the ADO.NET Interface
... PM Page 60 CHAPTER s DATA MODELS, DATASETS, AND THE ADO.NET INTERFACE Figure 3-10 Steps to add a data table to dataset Click the header of the newly created data table, and name it dtCreditLimit ... communicate with a data source • Command: Needed to perform actions such as selecting, updating, and deleting data from a data source • DataReader: Needed to read data from a data source, one record ... reporting project makes use of a dataset The data table inside the dataset is identical in 55 8547ch03final.qxd 56 8/30/07 4:10 PM Page 56 CHAPTER s DATA MODELS, DATASETS, AND THE ADO.NET INTERFACE...
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Health and Wealth of Elderly Couples: Causality Tests Using Dynamic Panel Data Models pot
... and present the results of models that explain each indicator of health of husband and wife from lagged husband’s and wife’s health, lagged log wealth, and additional controls (demographics and ... of husbands (79.9% of wives) had experienced the onset of a mild health condition, mostly arthritis (56.2% for husbands and 63.2% for wives) and high blood pressure (53.8% for husbands and 49.2% ... Blundell, R .and S Bond (1998): Initial Conditions and Moment Restrictions in Dynamic Panel Data Models, Journal of Econometrics, 87, pp 115-143 [12] Chamberlain, G (1984): Panel Data, in Handbook...
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Báo cáo khoa học: "Transparent combination of rule-based and data-driven approaches in a speech understanding architecture" pot
... on in-domain test data for different amounts of training data and different versions of the system Training and test data both in speech form "Data" = proportion of training data used; "Rules" ... important one Summary and conclusions We have presented a simple speech understanding framework combining rule-based and datadriven methods, which has been implemented and Data Rules NGrams Both ... only; "Both" = both rules and N-grams • Quantity of training data • Modality (text or speech) of training data We randomly divided the training corpus into ten equal pieces, and trained on subsets...
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Báo cáo khoa học: "Combining data and mathematical models of language change" ppt
... mistransmitted (Models 1, 3, 5), and how the N and V probabil- ities acquired by a given learner are coupled In ˆ Model there is no coupling (ˆ t and βt learned α independently), in Models 2–3 coupling ... 2010 Variation and change in English noun/verb pair stress: Data, dynamical systems models, and their interaction Ms To appear in A.C.L Yu, editor, Origins of Sound Patterns: Approaches to Phonologization ... observed in the data, only one shows all such properties We believe detailed datasets are potentially very useful for evaluating and differentiating between proposed computational models of change...
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Báo cáo khoa học: "Collapsed Consonant and Vowel Models: New Approaches for English-Persian Transliteration and Back-Transliteration" ppt
... sequence becomes “CCVCCV” These approaches, which we refer to as CV- MODEL and CV- MODEL respectively, partition these sequences using basic patterns (C and V) and main patterns (CC, CVC, VC 652 ... Automatic transliteration and back-transliteration by decision tree learning In Conference on Language Resources and Evaluation, pages 1135–1411 Sarvnaz Karimi, Andrew Turpin, and Falk Scholer 2006 ... transliteration In String Processing and Information Retrieval, pages 255–266 Alexandre Klementiev and Dan Roth 2006 Weakly supervised named entity transliteration and discovery from multilingual...
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báo cáo hóa học:" Research Article Data Cache-Energy and Throughput Models: Design Exploration for Embedded Processors" doc
... of input data These models are an extension of the models previously proposed by Qadri and Maier in [22, 23] The D-Cache Energy and Throughput Models The cache energy and throughput models given ... Kamble and Ghose incorporated block buffering, data RAM subbanking, and bus invert coding for evaluating the models The relative error in the models increased greatly when the sub-banking and block ... consumption data like idle mode energy (Eidle ) and leakage power (Pleak ) was taken from Energy (J) tcache = tc · (nread + nwrite ) · + Cyclic Random LRU Cyclic Random LRU Cyclic Random LRU Cyclic Random...
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Báo cáo toán học: "Short term interactions between tree foliage and the aerial environment: An overview of modelling approaches available for tree structure-function model" potx
... models, but see the modelling framework proposed by Jones and Sutherland [69]) The first approach does not link stomatal conductance and photosynthesis, while the second and third approaches exploit ... (J kg–1 K–1), and the psychrometric constant (Pa K–1), respectively Ts and Ta are air and leaf temperatures, and es and ea are the water vapour pressure in the substomatal spaces and in the air, ... available in the literature, model comparison (i.e between static models, and between static and dynamic models, see tables I and II) and improved communication between modellers are needed to address...
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Báo cáo y học: "Coverage and error models of protein-protein interaction data by directed graph analysis" pptx
... RG and WH conceived and designed the investigations described in this report TC, DS and DS performed the computational and statistical analyses TC, RG and WH wrote paper All authors read and ... on the data from Krogan and coworkers [11] Two-sided binomial test on the data from Krogan and coworkers [11] The scatter-plot shows (op,ip) for each p ∈ VBP from the report by Krogan and coworkers ... Stochastic error rate analysis interactions Among the AP-MS datasets, the data reported by both Gavin and coworkers [10] and Krogan and colleagues [11] display negative means A possible interpretation...
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Báo cáo sinh học: " Heritability of longevity in Large White and Landrace sows using continuous time and grouped data models" ppsx
... compare the performance of Weibull and grouped data models and to estimate heritabilities using different genetic models for Large White and Landrace sows Methods Data Length of productive life was ... Weibull model were used Genetic models and heritability computation For both Large White and Landrace databases, the same structure of fixed and random effects was used All models accounted for pedigree ... continuous time and grouped data models in Large White and Landrace sows were examined Risk of culling associated with length of productive life was influenced by all fixed and random effects An...
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Báo cáo sinh học: " Carcass conformation and fat cover scores in beef cattle: A comparison of threshold linear models vs grouped data models" docx
... observed scale and the liability scale could be specific to each technician In 2006, Varona and Hernandez [4] proposed a specific ordered category threshold linear model for sensory data and concluded ... Prentice and Gloeckler [7] presented the “grouped data model” for analysis of discrete data while maintaining the assumption of proportional hazards Ducrocq [8] reparameterized and extended grouped data ... threshold linear models, a threshold log-linear Weibull model, and a grouped data model for the analysis of carcass conformation and fat cover in beef cattle The three threshold linear models were...
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Báo cáo sinh học: " Analysis of the real EADGENE data set: Multivariate approaches and post analysis (Open Access publication)" doc
... the real data set The groups are numbers 41 (top), 138 (middle) and 23 (bottom) Data has been scaled and centred Data from the E coli data set is shown on the left, and from the S aureus data set ... the data set and is based on an empirical Bayesian generalised linear model with the regression coefficients between expression data and the sample treatments (e.g time point or pathogen) as random ... statistical approaches were used by the EADGENE teams: class discovery and class prediction, differential co-expression of gene sets, and differential expression of gene sets These statistical approaches...
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SEQUENTIAL APPROACHES IN GRAPHICAL MODELS AND MULTIVARIATE RESPONSE REGRESSION MODELS
... cient matrix and the precision matrix in multivariate response regression models The ideas of sequential methods in linear regression models and Gaussian graphical models are combined and exploited ... norms and B and h = 0.8 136 4.9 ˆ ˆ 4.10 Average (SD) of ⌦ related PDR, FDR, |⌦| and matrix loss in three ˆ norms and B related PDR, FDR and PMSE when p = 50, n = 100 and ... norms and B related PDR, FDR and PMSE when p = 50, n = 100 and h = 0.8 132 ˆ ˆ Average (SD) of ⌦ related PDR, FDR, |⌦| and matrix loss in three ˆ related PDR, FDR and...
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graphical models representations for learning reasoning and data mining wiley series in computational statistics
... Preface Introduction 1.1 Data and Knowledge 1.2 Knowledge Discovery and Data 1.2.1 The KDD Process 1.2.2 Data Mining Tasks 1.2.3 Data Mining Methods 1.3 Graphical Models 1.4 Outline ... Gebhardt and Kruse 1996b, Gebhardt and Kruse 1996c, Borgelt and Kruse 1997a, Borgelt and Kruse 1997b, Borgelt and Gebhardt 1997] for learning possibilistic networks), and thus graphical models ... in Databases (KDD) or Data Mining (DM) and which has taken up the challenge to develop techniques that can help humans to discover useful patterns and regularities in their data Graphical Models: ...
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Short term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in queensland, australia
... of SVR, MARS, and ARIMA models; Section presents the materials and methods including the G data and model development and evaluation; Section presents the results and discussion; and Section further ... (11) Materials and methods 3.1 Electricity demand data In this study, a suite of data- driven models was developed for shortterm G forecasting in Queensland, Australia The predictor data, comprised ... For the 0.5 h and 24 h forecasting horizons, the models employed half-hourly and daily data from the 1-12-2015 to 31-12-2015 (≈1488 data points) and 1-1-2012 to 31-12-2015 (≈1461 data points)...
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Springer lin co foundations and novel approaches in data mining 2006
... author discusses the relationship between data mining and causal reasoning and addresses the fundamental issue of recognizing causality from data by data mining techniques In the paper Definability ... abductive approach to data mining is used to improve data input Working from the ”decision-in,” the authors identify and address challenges associated with demographic data collection and suggest ways ... between precise formalism and commonsense imprecise reality 1.1 Data mining, introduction Data mining is an advanced tool for managing large masses of data It analyzes data previously collected...
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Data warehuose and data mining
... Environment • Subject = Customer • Data Warehouse Biến thời gian • Time • Data • 01/97 Data for January • • 02/97 Data for February • • 03/97 Data for March • • Data • Warehouse Ổn Định • Là lưu ... quan trong qui trình KDD Pattern Evaluation Data mining Task relevant data Data warehouse Data cleaning Knowledge Data integration selection Mục đích KTDL Data Mining Descriptive Predictive Classification ... Traditional Database • Data ware house • • • • • • • • Tích hợp Hiện hành – lịch sử Hướng chủ thể Bất biến Khơng chuẩn hóa Rõ ràng Tổng qt / chi tiết Người dùng : quản lý • Traditional Database...
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Visualizing Data Models
... model from an existing database can be limited by security rights and restrictions imposed on your database account Make sure you have sufficient rights to the database tables and elements that you ... of querying EF data: retrieving entity data using Entity SQL and accessing objects directly through the Entity Framework’s Object Services layer Chapter 14 Visualizing Data Models 243 Chapter ... build the connection string for both the model and the target database. Built upon standard ADO.NET connection strings, this wizard adds EF-specific metadata keyvalue pairs that help the Framework...
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