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complex-value data model

Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data

Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data

... categorical data is ubiquitous and common in real- world ...non-IID data. However, it is a critical yet challenging problem to model, represent, and utilise high-order complex value ...

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Performance Evaluation of Redis and MongoDB Databases for Handling Semi structured Data

Performance Evaluation of Redis and MongoDB Databases for Handling Semi structured Data

... data model of column-oriented database can store data in columns, data tables where each column can store data separately and indexed in ...a value, and ...support complex ...

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Simplification of Parameters in a Complex Catchment Model: a Daily Rainfal Data Generation Process

Simplification of Parameters in a Complex Catchment Model: a Daily Rainfal Data Generation Process

... historical data for the Zahedan, Gorband and Podeh Chah ...available data, which was used as a base for generation. The value of average annual rainfall of the generated data in Table 3 is ...

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Assessing the added value of the Intermediate Complexity Atmospheric Research (ICAR) model for precipitation in complex topography

Assessing the added value of the Intermediate Complexity Atmospheric Research (ICAR) model for precipitation in complex topography

... atmospheric model based on linear mountain wave ...elevation model and a forcing data set with 4-D atmospheric variables generated by, for instance, a cou- pled atmosphere–ocean general circulation ...

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Value-added measures for school improvement

Value-added measures for school improvement

... more complex approaches is that they can be difficult to explain to layperson ...any value-added data; and the need to clearly set the data in the context of other indicators of school ...

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Business, model innovation in electricity supply markets: The role of complex value in the United Kingdom

Business, model innovation in electricity supply markets: The role of complex value in the United Kingdom

... in-depth data on the motivations of local supply actors, a suite of archetypes (business models) of local supply, with various theor- ised bene fi ts, and an analysis of the barriers that these archetypes ...

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On Complex Value Relations in Hive

On Complex Value Relations in Hive

... the data model allows for (a restricted form of) com- plex value relations: A tuple constructor struct declares ...The complex types map and array declare maps and arrays, concepts familiar ...

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Segmenting Online Customers Based on their Lifetime Value and RFM Model by Data Mining Techniques

Segmenting Online Customers Based on their Lifetime Value and RFM Model by Data Mining Techniques

... Self-organizing networks, many applications in different fields such as science, engineering (Jounela, Vermasvuori, Enden, & Haavisto, 2003), medicine(Moshou, Hostens, Papaioannou, & Ramon, 2005), etc., which is ...

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HSBC Bank Australia Ltd A.B.N Financial Report Year Ended 31 December 2014

HSBC Bank Australia Ltd A.B.N Financial Report Year Ended 31 December 2014

... present value of expected future cash flows, based upon ‘no-arbitrage’ ...more complex derivative products, there may be some discrepancy in ...market data wherever possible, including prices ...

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Outlier detection in complex categorical data by modelling the feature value couplings

Outlier detection in complex categorical data by modelling the feature value couplings

... inter-feature value couplings, we score feature values based on its interactions with values of other ...to model outlierness propagation between feature values: a feature value has high outlierness ...

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MEASURING PROCESS INNOVATION ON DOUBLE FLANKED CONCEPTUAL MODEL FOR KNOWLEDGE 
SHARING ON ONLINE LEARNING ENVIRONMENT

MEASURING PROCESS INNOVATION ON DOUBLE FLANKED CONCEPTUAL MODEL FOR KNOWLEDGE SHARING ON ONLINE LEARNING ENVIRONMENT

... of data points into a small number of ...of data points and clustering is ...classifying data points into cluster is distance ...difference value the color in the shadow portion is ...namely ...

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Fitting Variance Components Model and Fixed Effects Model for One-Way Analysis of Variance to Complex Survey Data

Fitting Variance Components Model and Fixed Effects Model for One-Way Analysis of Variance to Complex Survey Data

... Note that these ANOVA estimators are the estimators obtained for the variance components model under noninformative sample design. This is intuitively reasonable, because under the exponential conditional ...

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Artificial Neural network for Data mining –A study

Artificial Neural network for Data mining –A study

... large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and ...the data mining process is to extract information from a data set and transform ...

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Sequential Model Selection for Word Sense Disambiguation

Sequential Model Selection for Word Sense Disambiguation

... However, if the data sample can be adequately characterized by a less complex model, i.e., a model in which there are fewer interactions between variables, then more reliable parameter e[r] ...

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Analysis of Complex Survey Data

Analysis of Complex Survey Data

... The data that are collected in such evaluations are likely to come from standard household survey designs with all the usual complexities of multiple stages, stratification, and variable selection ...the ...

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Query translation and optimisation for complex value databases

Query translation and optimisation for complex value databases

... THESES SIS/LIBRARY R G MENZIES LIBRARY BUILDING NO 2 THE AUSTRALIAN NATIONAL UNIVERSITY CANBERRA ACT 0200 AUSTRALIA TELEPHONE +61 2 6125 4631 FACSIMILE +61 2 6125 4063 EMAIL library theses@anu edu au[.] ...

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COMPLEX THE. Adding Value to Business and Quality of Life

COMPLEX THE. Adding Value to Business and Quality of Life

... a model for sustainability and energy efficiency, GALLERIA40 is Egypt’s first commercial complex to comply with international business standards of green building through the LEED® program registration, by ...

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Boundary value problems in complex analysis I

Boundary value problems in complex analysis I

... A systematic investigation of basic boundary value problems for com- plex partial differential equations of arbitrary order is started in these lec- tures restricted to model equations. In the first part ...

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Detection of outliers in the complex linear regression model

Detection of outliers in the complex linear regression model

... Circular data as any other types of data are subjected to contaminate with some unexpected observations which are known as ‘outliers’ and there are some numerical statistics proposed to identify outliers in ...

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Self-Paced Active Learning: Query the Right Thing at the Right Time

Self-Paced Active Learning: Query the Right Thing at the Right Time

... The parameters of BMDR are set to the recommended values in their paper. Specifically, the regularized weight γ = 0.1 and the trade-off parameter µ = 1000. For ASPL, it targets for specific application and can not be ...

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