Conditional functional dependency
Discovering Valuable Relationships in RDBMS Using Complements of Maximal Set
... their dependency relations are sufficient for most organizational ...requirements. Dependency discovery has attracted a lot of research interests from the communities of database design, machine learning ...
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Functional Dependency Based Data Distribution by Using Association Patterns
... minimal functional dependencies in a given ...for conditional functional dependency present in used ...of conditional functional dependency is obtained by minimal ...
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Identifying Useful Data Dependency Using Agree Set form Relational Database
... discovery, functional dependencies (FDs), Inclusion dependencies (INDs) and Conditional Functional Dependency ...of conditional functional dependencies (CFDs) has also seen some ...
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Mining Constant Conditional Functional Dependencies for Improving Data Quality
... A conditional functional dependency (CFD) φ over R is a pair (X → Y, tp), where (1) X, Y are a set of attributes in Attribute(R) (2) X→ Y is a standard FD, referred to as the FD embedded in φ; and ...
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Is a change in functional capacity or dependency in activities of daily living associated with a change in mental health among older people living in residential care facilities?
... of functional balance capacity (BBS score dichotomized on the median value, BBS = 31) or dependency in ADL (Barthel ADL Index score dichoto- mized on the median value, Barthel ADL Index = 15), and activity ...
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Detection of Verbal Multi Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re Ranking
... A description of a system for iden- tifying Verbal Multi-Word Expressions (VMWEs) in running text is presented. The system mainly exploits universal syn- tactic dependency features through a Con- ditional Random ...
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Detection of Verbal Multi Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re Ranking
... A description of a system for iden- tifying Verbal Multi-Word Expressions (VMWEs) in running text is presented. The system mainly exploits universal syn- tactic dependency features through a Con- ditional Random ...
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Synthesizing Cyber Intrusion Alerts using Generative Adversarial Networks
... weighted conditional entropy is computed according to the equations provided by ...baseline. Conditional probability tables are also generated to provide detailed inspection of specific feature value ...
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Text Simplification as Tree Labeling
... on dependency structures rather than constituent structures, which promises more robust syntactic analysis and allows us to operate on discontinuous syntactic ...
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A New Functional Dependency in a Vague Relational Database Model
... of functional dependency in vague relational ...vague functional dependency (called -vfd) based on the idea of -equality of tuples and similarity measure of vague ...
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Dependency Tree based Sentiment Classification using CRFs with Hidden Variables
... the dependency subtree “prevents cancer and heart disease” has positive po- ...whole dependency tree “It prevents cancer and heart ...each dependency subtree of a subjective ...a dependency ...
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DEPENDENCY OF RETURN ON EQUITY AND USE OF FINANCE SOURCES IN BUILDING COMPANIES IN V4 COUNTRIES
... The other level of research is focused on data of concrete companies, which is the basis for panel data regression processing. When construing the panel model, I will start from the study by Haas and Lelyveld [8]. A ...
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A Method to Generate Simplified Systemic Functional Parses from Dependency Parses
... Systemic Functional Linguistics provides a semiotic perspective on ...Systemic Functional Linguistics (SFL) can be of critical value in real-world ...Stanford Dependency parses and a database ...
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Vol 4, No 10-12 (2015)
... The attraction parameter a of van der Waals needed to be made a function of temperature before any cubic EoS was able to do a better job of quantitatively matching experimental data. This was a realization that van der ...
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The outcome of stroke: A six month follow-up study
... association between diabetes and case-fatality rates (P = 0.726, P = 0.980, respectively) as shown in Table 2. The results revealed that after one and six months from the onset of stroke, 74.3% (156/210) and 45.4% ...
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XML Database Schema Refinement through Functional Dependencies and Normalization
... The header path ends with the element student, which is the sub tree root to the elements Sno, Sname, and age. This dependency specifies that each student must have student number as identifier key that determines ...
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Bayesian inference for a semi parametric copula based Markov chain
... Now we can proceed with sampling from the posterior of Ψ. Unlike the Gaussian copula (see Hoff (2007)), most copula families do not have the full conditional available to sample from, and a Markov Chain Monte ...
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Functional generalized autoregressive conditional heteroskedasticity
... Heteroskedasticity is a common feature of financial time series and is commonly addressed in the model building process through the use of ARCH and GARCH processes. More recently multivariate variants of these processes ...
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Functional capacity and dependency in transfer and dressing are associated with depressive symptoms in older people
... between dependency in the ADL task of bathing and living in a residential care facility, the latter was not controlled for when analyzing the ...to dependency on assistance in ADL and might thus affect the ...
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Incremental Proofs of Operational Termination with Modular Conditional Dependency Pairs
... The notion of dependency pairs is one of the most power- ful method to prove termination of (unconditional) TRS [9]. where essential pairs of terms are extracted from rewrite rules and chains of the pairs are ...
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