In this research, the development of a `concept-clumping algorithm' designed to improve clustering technical concepts is demonstrated . The algorithm developed first identifies list technically relevant noun phrases from cleaned extracted and then applies rule-based for identifying synonymous terms based on shared words in each term. An assessment found that has an 89—91% precision rate, was successful moving important higher term frequency list, improved specificity clusters.

This article focuses on the issue of data mining as it relates to consumer and whether consumer's private information has any proprietary status. A brief review is provided a background for better understanding purposes uses mining. Also examined are several issues ethics mining, including stakeholders, who they which may be most seriously affected by unethical practices. Several suggestions improvement further presented: that would allow beneficial both business community consumer.

Text data mining of research abstract databases, across time, shows how an emergent technology is progressing towards commercialization. tools like VantagePoint can provide insights into the progress a discipline showing projection trends for strategic analysis and displaying interconnections between topics. Technology development starts with underlying science where theoretical concepts are proposed tested, to more focused technical on devices that apply these theories. This paper...

Ship design is a complex engineering activity which requires multidisciplinary consideration in arriving at objectives and constraints. An optimal of such problems require multi-objective optimization method that capable finding multiple trade-off solutions, not only to choose preferred solution for implementation, but also have deeper understanding the interactions among variables. In this paper, we consider two ship models involving uncertainties variables, demonstrate usefulness an...

The news, popular culture, and legislatures are concerned with the recent reemergence of artificial intelligence (AI) technology. Some fear is fueled by terminology including intelligence, machine learning, deep superintelligence that have specific meaning within technology community, but can be misunderstood general public or other fields inquiry. Because this, fears not well linked to what actually does. type AI such as neural networks decision trees does little clarify conversation....

Many domain-specific ontologies exist. These are used in text mining processes to better understand that is available within the specific domain. Example domains include business areas such as marketing or functional particular types of operations intelligence community. This paper makes a step toward developing broad ontology for innovation and design process Such an can be discussion takes places development new innovations influences on development. In many cases, success, failure, final...

Cybersecurity threats have been intensifying and becoming more diverse. Social engineering can enable or enhance these technical attacks. This interplay between attacks social engineering, when used, makes every employee, manager board member a part of the security infrastructure an organization. As such, it is incumbent upon systems higher education to educate both information technologists organizational leaders on broader issues: multidisciplinary approach needed. article contributes...

Abstract Technology managers are faced with identifying emerging technologies the greatest economic potential. Text mining of technical information sources has great potential for structuring and analyzing vast amounts that is available today. There tools capable patents publication databases trends, activity, monitoring competitors. However, a disconnect between managers' needs analysts' provides significant challenge. Additionally, technology not accustomed to processing derived knowledge...

Areas such as competitive intelligence and environmental scanning are becoming increasingly more important business practices, particularly under the intense competition of technology industry. However, organizations reluctant to search for information which they cannot act on immediately also experiment in absence reliable information; conditions leading organizational inattention. On other hand, many spending valuable resources either projects assessed with insufficient or that unable...

Text data mining of research abstract databases provides insight into the relationships between researchers and topics. tools like VantagePoint provide insights progress a technology discipline showing projection trends for strategic analysis displaying interconnections Research in typically flows from works underlying science where theoretical concepts are proposed tested to more focused technical on devices that apply these theories. Our study tracks spread ideas throughout life cycle with...

A significant amount of research was funded after Hurricane Katrina slammed into the Gulf Coast region. Topics range from immediately known problems associated with flood control and weather forecasting issues social, economic political landscapes. In an effort to understand impact a natural disaster on implications for technology innovation development, current will use tech mining approaches analyse Science Citation Index (SCI) abstracts determine specifically related Katrina, as well...

This paper defines a systems theoretic model of group consensus in an information and communication technology intense environment. The describes states how interventions can move the system to other depending on current state level intervention. is shown be more useful understanding why groups are influenced effective likely than construct/influence models that dominate research field significant tool for collaborative design.