Knowledge cultivating for intelligent decision making in small & middle businesses

Collective memory based on semantic annotation among economic intelligence actors

“…Decision marking can be regarded as an outcome of mental processes (cognitive process) leading to the selection of an action course among several alternatives. According to Li et al (2010), decision making process or problem solving begin with defining the problem. All problems can be expressed as information, and there must exist knowledge which helps to solve the problem.…”

“…Knowledge and/or relevant information are a critical resource for an enterprise, economic intelligence (EI) actors. According to Li et al (2010), every enterprise has data, information or knowledge, special knowledge play an important role in decision making process, there are many information sources, and the web has also become a common and huge information source. According to Oliveira et al (2004), the internet is becoming the basic infrastructure for communication among people and companies.…”

Data Mining and Its Applications for Knowledge Management : A Literature Review from 2007 to 2012

“…4. Small and Middle Businesses (food company and food supply chain): there were two methods and processes to obtain knowledge resources: knowledge seeding-the relative knowledge to the problems; knowledge cultivating-the process to find the key knowledge from knowledge seeding [12]. Data mining and knowledge management integrated can help making better decisions [12].…”

“…In the financial company, Cheng, Lu & Sheu (2009) implemented an ontology-based approach of KM and knowledge sharing in financial knowledge management system (FKMS) and applied the hybrid SOFM/LVQ classifier of clustering and classification data mining techniques to classify corporate bonds [4]. For small and middle businesses: food company domain, data mining can improve decision-making by knowledge cultivating method namely Extenics and Extension data mining (EDM) [12]. This method was the integration of data mining and knowledge management, to develop a decision support system platform for better decisions [12].…”

“…For small and middle businesses: food company domain, data mining can improve decision-making by knowledge cultivating method namely Extenics and Extension data mining (EDM) [12]. This method was the integration of data mining and knowledge management, to develop a decision support system platform for better decisions [12]. To solve the death-onarrival (DOA) in food supply chain networks, corporate manager selected variables that might have influence on DOA by using "decision tree" of data mining method; and used "neural network" to monitor potential DOA for prediction [13].…”