The inference of network topologies from relational data is an important problem in data analysis. Exemplary applications include the reconstruction of social ties from data on human interactions, the inference of gene co-expression networks from DNA microarray data, or the learning of semantic relationships based on co-occurrences of words in documents. Solving these problems requires techniqu...

This study focused on the optimization of Al—Mg to CuZn34 friction stir lap welding (FSLW) process for optimal combination of rotational and traverse speeds in order to yield favorable fracture load using Grey relational analysis (GRA). First, the degree of freedom was calculated for the system. Then, the experiments based on the target values and number of considered levels, corresponding orth...

Despite the vital role of information in relational-oriented firms, there are limited studies on the impact of information quality on relationship marketing. To address this gap, this study develops a conceptual model to examine the impact of information quality on the successful implementation of relationship marketing by assessing the mediating role of salespeople's relational competency. The...

Relational search is a novel paradigm of search which focuses on the similarity between semantic relations. Given three words (A, B, C) as the query, a relational search engine retrieves a ranked list of words D, where a word D ∈ D is assigned a high rank if the relation between A and B is highly similar to that between C and D. However, if C and D has numerous co-occurrences, then D is retriev...

With the advances of Internet of Things (IoT), RFID technology is becoming ubiquitous. While prior studies have conceptualized RFID technology as a unidimensional concept or examined its impact from a homogeneous organizational context perspective, little attention has been paid to RFID technology characteristics deployed in a firm and the extent to which they impact this firm’s network of busi...

This paper discusses a few of the lessons we have learned developing a relational knowledge discovery system. The relationships among data instances in relational data provide extra information for “mining.” This additional information has the potential to greatly improve the quality of learned models. However, the dependencies among instances in the data also introduce new statistical challeng...

Methods for representing the meaning of words in vector spaces purely using the information distributed in text corpora have proved to be very valuable in various text mining and natural language processing (NLP) tasks. However, these methods still disregard the valuable semantic relational structure between words in co-occurring contexts. These beneficial semantic relational structures are con...

As contemporary firms increase their reliance on information technology (IT) and are increasingly turning their attention to jointly creating value with their primary stakeholders, there is a growing need to understand what enablers promote from interfirm value co-creation from co-production in supply chains, how the co-production can be realized and what value can be created through the co-pro...

Biclustering aims to mine a number of co-expressed genes under a set of experimental conditions in gene expression dataset. Recently, differential co-expression biclustering approach has been used to identify class-specific biclusters between two gene expression datasets. However, it cannot handle differential co-expression constant row biclusters efficiently in real-valued datasets. In this pa...

this study focused on the optimization of al—mg to cuzn34 friction stir lap welding (fslw) process for optimal combination of rotational and traverse speeds in order to yield favorable fracture load using grey relational analysis (gra). first, the degree of freedom was calculated for the system. then, the experiments based on the target values and number of considered levels, corresponding orth...