The positive relation between stock price changes and trading volume (price–volume relationship) as a stylized fact has attracted significant interest among finance researchers and investment practitioners. However, until now, consensus has not been reached regarding the causes of the relationship based on real market data because extracting valuable variables (such as information-driven trade ...

MX and its analogs are synthesized and modeled by quantitative structure activity relationship (QSAR) study including comparative molecular field analysis (CoMFA). As a result, factors affecting this class of compounds have been found to be steric and electrostatic effects. Because hologram quantitative structure activity relationship (HQSAR) technique is based on the 2-dimensional descriptors,...

This paper discusses the use of interpretive research to learn about the practicality of entityrelationship modelling in ternary relationship situations. The findings can be compared with previous studies of novice modellers who used the same invented scenario. Previous research excluded the interaction between practitioners that would occur during a modelling session because novices were used ...

Most work in relation extraction forms a prediction by looking at a short span of text within a single sentence containing a single entity pair mention. However, many relation types, particularly in biomedical text, are expressed across sentences or require a large context to disambiguate. We propose a model to consider all mention and entity pairs simultaneously in order to make a prediction. ...

Dihydrofolate reductase is known for important role in cancer and microbial diseases and hence is considered as validated target for aforementioned diseases. Three dimensional quantitative structure activity relationship studies (3D-QSAR) involving comparative molecular field analysis (CoMFA) and comparative similarity indices analysis (CoMSIA) were performed using twenty two Pneumocystis carin...

This paper describes an improved method for relation identification, which is the last step of unsupervised relation extraction. Similar entity pairs maybe grouped into the same cluster. It is also important to select a key word to describe the relation accurately. Therefore, an improved DF feature selection method is employed to rearrange low-frequency entity pairs’ features in order to get a ...

The integration of customer relationship management (CRM) and supplier relationship management (SRM) to facilitate supply chain management in the areas of supplier selection using a help desk approach has become a promising solution for manufacturers to identify appropriate suppliers and trading partners to form a supply network on which they depend for products, services, and distribution. In ...

This paper presents a database interface for geo-scientifit applications. It is based on a “geoobject model” derived from an extended entity-relationship model, so that geoscientific objects and their representation in maps can be described. Special datatypes are used for geometric and temporal attributes. Then a database language is introduced which integrates object model and datatypes: Queri...

● Even largest available knowledge bases are incomplete ● Relation extraction from unstructured data is one way to narrow the gap ● Question-Answer pairs (QnA) are attractive data source for relation extraction, they contain information users are interested in ● Existing approaches are typically based on various syntactic patterns and operate over individual sentences ● However, often an answer...