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Domain Knowledge

Use of Domain Knowledge In University

Use of Domain Knowledge In University

... This work comprises study of Apriori, Transaction reduction, Partitioning, Sampling algorithms using Domain knowledge .This work considered elective subject database of near about 7000 records. This ...

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Dimensionality Reduction for Text using Domain Knowledge

Dimensionality Reduction for Text using Domain Knowledge

... Text documents are complex high dimen- sional objects. To effectively visualize such data it is important to reduce its di- mensionality and visualize the low dimen- sional embedding as a 2-D or 3-D scatter plot. In this ...

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Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge

Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge

... how domain knowledge can be anchored to a single topic to help an other- wise dominated topic emerge, and how the anchor- ing parameter β affects that ...a domain expert ...

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REQUIREMENTS ENGINEERING DOMAIN KNOWLEDGE IN INFORMATION TECHNOLOGY

REQUIREMENTS ENGINEERING DOMAIN KNOWLEDGE IN INFORMATION TECHNOLOGY

... and knowledge about the domain, which used to be possessed by individuals, are nowadays often encoded in the organization’s information ...encoded knowledge generally referred to as “domain ...

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Automatic Acquisition of Domain Knowledge for Information Extraction

Automatic Acquisition of Domain Knowledge for Information Extraction

... p dvi Automatic Acquisition of Domain Knowledge for Information Extraction Roman Yangarber, Ralph Grishman Courant Institute of Mathematical Sciences New York University froman|grishmang@cs nyu edu Pa[.] ...

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DOMAIN KNOWLEDGE IDENTIFICATION AND CLASSIFICATION FOR DISEASE DIAGNOSIS

DOMAIN KNOWLEDGE IDENTIFICATION AND CLASSIFICATION FOR DISEASE DIAGNOSIS

... Classification techniques are used to identify the transaction label. Critical nuggets are used to represent the domain knowledge of the data collection. Classification accuracy is improved with critical ...

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Unsupervised Relation Extraction with General Domain Knowledge

Unsupervised Relation Extraction with General Domain Knowledge

... general domain knowledge which we encode as First Order Logic ...with domain relevant rules, and present an algorithm for estimating the param- eters of this ...

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Probabilistic Dialogue Models with Prior Domain Knowledge

Probabilistic Dialogue Models with Prior Domain Knowledge

... prior knowledge of the dialogue domain in the form of pragmatic rules, generic background knowledge, or task-specific ...expert knowledge into di- alogue policy learning, using finite-state ...

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The use of ontologies in ITS domain knowledge authoring

The use of ontologies in ITS domain knowledge authoring

... the domain knowledge is a task that requires a major portion of the time and effort when building an ...the knowledge acquisition pro- cess since the inception of ITSs with limited ...acquiring ...

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Exploring Attributes with Domain Knowledge in Formal Concept Analysis

Exploring Attributes with Domain Knowledge in Formal Concept Analysis

... To perform the attribute exploration on the TB dataset, we have considered all the symptoms of TB. Also, we have considered the rules elicited by the TB experts and treating doctors’ diag- nosis as domain ...

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Building frame based corpus on the basis of ontological domain knowledge

Building frame based corpus on the basis of ontological domain knowledge

... ontological domain knowledge in- structs the main tasks in building a frame-based lexi- ...the domain knowledge from the Gene Ontology (GO) (Ash- burner et ...the domain-specific corpus ...

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Domain Knowledge Engineering Based on Encyclopedias and the Web Text

Domain Knowledge Engineering Based on Encyclopedias and the Web Text

... helping knowledge engineers or domain experts to find the domain concepts and the relations among ...acquired knowledge can be added into the domain knowledge ...acquire ...

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Load balancing using automatically discovered domain knowledge

Load balancing using automatically discovered domain knowledge

... In the second experiment, the influence of the predictor was evaluated. In this experiment the smart balancer was provided first with a C4.5 decision tree, then with a predictor that provided a random class (see Section ...

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Using Domain Knowledge to Facilitate Cyber Security Analysis

Using Domain Knowledge to Facilitate Cyber Security Analysis

... utilize domain knowledge in form of taxonomy and ontology to improve attack correlation in cyber security ...that domain knowledge and machine-learning technique should be mutually beneficial ...

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Use of Domain Knowledge for Fast Mining of Association Rules

Use of Domain Knowledge for Fast Mining of Association Rules

... of domain knowledge in data mining. Domain knowledge consists of information that is not explicitly presented in the database rather it is made available from a domain ...background ...

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Chinese Short Text Classification Based on Domain Knowledge

Chinese Short Text Classification Based on Domain Knowledge

... draw domain knowledge for each user-defined domain using the external ...a domain is calculated by measuring the proportion of the overlapping part of this instance and the domain ...

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Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs

Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs

... additional domain knowledge from UMLS as vector representations obtained via knowledge graph embeddings, the details of which are described ...

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EXPLICIT DOMAIN KNOWLEDGE REPRESENTATIONAOSD APPROACH

EXPLICIT DOMAIN KNOWLEDGE REPRESENTATIONAOSD APPROACH

... representing knowledge about the domain of AOSD applica- tions independently and separately from other concerns of the software – henceforth referred to as the implementation strategy – at the ...

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Exploiting Domain Knowledge in Aspect Extraction

Exploiting Domain Knowledge in Aspect Extraction

... using domain knowledge is more ef- fective than using co-document ...leveraging domain knowledge, these models do not generate as coherent aspects as ours because of their shortcomings ...

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Annotation Schemes to Encode Domain Knowledge in Medical Narratives

Annotation Schemes to Encode Domain Knowledge in Medical Narratives

... tologists were instrumental in creating schemes for annotation and several dermatologists were involved in annotating the data set. By modeling our annota- tion scheme after the decision-making process of a trained ...

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