Abstract This study presents an innovative text mining methodology that supports policy analysts with problem recognition, definition and selection. The empirical analysis is based on four years of online news articles published in the period 2016–2019. Using a combination methods (analysis term-frequencies, co-occurrence sentiment analysis), we identify trending terms explore selected regulato...

Information and communication technology has the capability to improve the process by which governments involve citizens in formulating public policy and public projects. Even though much of government regulations may now be in digital form (and often available online), due to their complexity and diversity, identifying the ones relevant to a particular context is a non-trivial task. Similarly,...

The aim of this analysis was to see how the dispute between mining processors (PT.COR) and local community in North Morowali Regency, Central Sulawesi Province, affected community. Observations in-depth interviews field notes about incidents researcher experiences were used as data collection methods study. purposive approach select informants compliance with research objectives. There ten chos...

Electric vehicles (EVs) and the related infrastructure are being developed rapidly. In order to evaluate the impact of factors on the aggregated EV load and to coordinate charging, a model is established to capture the relationship between the charging load and important factors based on data mining. The factors can be categorized as internal and external. The internal factors include the EV ba...

Li, Tiancheng Ph.D., Purdue University, August 2010. Privacy Preservation in Data Publishing and Sharing. Major Professor: Ninghui Li. In this information age, data and knowledge extracted by data mining techniques represent a key asset driving research, innovation, and policy-making activities. Many agencies and organizations have recognized the need of accelerating such trends and are therefo...

In this paper, we provide a novel dynamic decision method of blockchain selfish mining by applying the sensitivity-based optimization theory. Our aim is to find optimal blockchain-pegged policy dishonest pool. To study attacks, two pools designed means different competitive criterions, where honest pool follows two-block leading criterion, while modification criterion through using policy. poli...