I. INTRODUCTION
In today’s World the amount of stored information has been enormously increasing day by day, so discovering patterns and trends out of massive data is a great challenge. The management and extraction of useful information becomes a problem for many areas such as business, government funding agencies, universities, research institutes, and technology intensive companies. Data mining provides a solution for this problem.
A. Data Mining
Data mining emerged in 1980 for creating the useful information. Data mining is used to extract useful patterns and previously unknown trends from the large databases.The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Data mining has various techniques such as classification, clustering, decision trees, neural networks etc. The applications of data mining are text mining and web mining. In the process of data mining, before applying any technique pre-processing of data is required, this is the part of knowledge discovery process (KDD). T...
Privacy Preserving Data Mining (PPDM) was proposed by D. Agrawal and C. C. Agrawal [1] and by Y. Lindell and B. Pinkas [5] simultaneously. To address this problem, researchers have since proposed various solutions that fall into two broad categories based on the level of privacy protection they provide. The first category of the Secure Multiparty Computation (SMC) approach provides the strongest level of privacy; it enables mutually distrustful entities to mine their collective data without revealing anything except for what can be inferred from an entity’s own input and the output of the mining operation alone by Y. Lindell and B. Pinkas in [5], J. Vaidya and C.W.Clifton in [6]. In principle, any data mining algorithm can be implemented by using generic algorithms of SMC by O.Goldreich in [7].However, these algorithms are extraordinarily expensive in practice, and impractical for real use. To avoid the high computational cost, various solutions those are more efficient than generic SMC algorithms have been proposed for specific mining tasks. Solutions to build decision trees over the horizontally partitioned data were proposed by Y. Lindell and B. Pinkas in [5]. For vertically partitioned data, algorithms have been proposed to address the association rule mining by J. Vaidya and C.W.Clifton in [6], k-means clustering by J. Vaidya and C. Clifton in[8], and frequent pattern mining problems by A.W.C. Fu, R.C.W. Wong, and K. Wang in [9]. The work of by B. Bhattacharjee, N. Abe, K. Goldman, B. Zadrozny, V.R. Chillakuru, M.del Carpio, and C. Apte in [10] uses a secure coprocessor for privacy preserving collaborative data mining and analysis. The second category of the partial information hiding approach trades pr...
ee, searching for a ‘perfect’ love has never mattered to me. It’s never been about someone who would match this silly list of criteria or be exactly who I always dreamed of. I haven’t spent my life wishing for a prince or a man to save me. I haven’t hoped that I’d find this ideal man who could have all the answers and never leave me wondering.
This story is that, during the mid 21 century, because of the thaw of the iceberg that was floating in the Arctic, thus human created the Artificial Intelligence to help themselves to face the terrible environment easily. David is a robot like them. But he is the only one that is written into the love. As the first robot has love, he became the experimental article to be a kid for a couple who lost their son. As the time goes by, David still can’t join this family, and the couple thinks he can’t rather than their son exactly, so they make a decision to send to the company that created him to destroy him. However, they didn’t want to finally, but David can’t stay with them anymore. David thinks they don’t like him because he is not a real boy, if he can be a real boy, he will hear stories by his mother before he goes to bed, although he never need to sleep. So he still has a dream that one day, he will be a real boy, because he wants to be with his mother. His best friend and guide, Teddy helped him to find his dream and he says he will see him become a real boy. There is only one hope, Blue Fairy can help him to achieve him dream. However, you know, he did find her, but he was freezed with his best hope, Blue Fairy...
It is a step of defining the goals of the projects and the results are aimed at reaching certain levels of productivity of customer satisfaction. The second stage is measure, and it is the stage of collecting data and facts and evaluating current operational performance. The third stage is analyze with the purpose of developing methods and theories that will best suit the solving of the problem; it is also a stage of detecting cause-and-effect ties of the processes. The fourth stage is improve, it is aimed at generating ideas for reaching the desired process improvement. Finally, there is the control stage that is about monitoring the operations to find out whether the process of improvement is smooth and the problems were solved (Meredith & Shafer,
indicates towards a fraud. On eof the most important qualities or benefits of this model is that it understands the pattern in the data and generates the result. Once the result is generated the model checks as to how close was the result from the actual results. Based on this analysis the model adjusts its weights to give an accurate result the next time. Once this model has been trained to give accurate results, it can be used to analyze other data as well. Even when Neural Networks are widely accepted, they are not really used that much in the marketing industry merely by the fact that data preparation for this model is very complex time consuming as compared to the Regression Analysis. The marketers are much comfortable using the Regression Analysis over Neural Networks because of the ease of interpreting the results in the Regression Analysis.
This paper gives some insight into the vast subject of artificial intelligence and its use in the business world. Artificial intelligence is an incredibly interesting topic; it is used throughout the world in many different applications. Many do not know what artificial intelligence is or how it used, even though they are surrounded by it on a daily basis. To learn more about this topic it is important to do extensive research online by reading many different academic journals and articles. This paper will give the reader a better understanding of artificial intelligence and how it is being used in transportation and manufacturing businesses. These are just two small sections in the wide subject of AI (artificial intelligence) but give a bigger
There is a debate between the benefits and potential informational privacy issues in web-data mining. There are large amount of valuable data on the web, and those data can be retrieved easily by using search engine. When web-data mining techniques are applied on these data, we can get a large number of benefits. Web-data mining techniques are appealing to business companies for several reasons [1]. For example, if a company wants to expand its bu...
6- Developing of new tools, for all the new fields of studying, and developing programs for data mining and analysis of huge databases.
The robot revolution has begun! The eradication of the human race by the cold, cunning, and calculating autonomous army of artificial intelligence is imminent and unstoppable… or is it? While our world is becoming increasingly dependant on new technologies, artificial intelligence is steadily progressing its importance in business, creativity, and labor efficiency. To understand the growing role of artificial intelligence, it is important to understand where it began and where it is headed.
HAND, D. J., MANNILA, H., & SMYTH, P. (2001).Principles of data mining. Cambridge, Mass, MIT Press.
“Artificial Intelligence (AI) is the area of computer science focusing on creating machines that can engage on behaviors that humans consider intelligent.”AI has improved a lot in the last century, and is still advancing today. Different approaches in AI are used for different situations. Whether we notice it or not, AI is an important part of our lives. Artificial Intelligence
There are many different types of students. All students have their own way of studying and learning material. A student’s attitude is the most determining factor in how well a student performs academically. Some students are eager to learn and try their best; however, some students could care less about learning. Each year students decide whether they will succeed or fail in school. All students fall into one category or another. Students can be classified into three categories: Overachievers, Average Joes, and Do Not Give a Rips.
The dynamics of our society bring many challenges and opportunities to the business world. Within the last decade, hundreds of jobs have emerged particularly in the technology sector to help keep up with the ever-changing world and to compete on a larger and better scale than the competition. Two key job markets and the basis of this research paper are business intelligence or BI and data mining or DM. These two fields play a very important role in small to large companies and are becoming higher desired sectors within the back offices of the workplace. This paper will explore what the meaning of BI and DM really is, how they are used and what we can expect as workers and learners of the technology and business fields for the future.
It is needed to define intelligence before defining artificial intelligence. Intelligence is thinking and reasoning, perceiving and evaluating of perceived things, commenting and concluding them (Kayabaş, 2010). Artificial intelligence is general name of computer system studies which aim to fulfill the role needing high mental operations like learning from experiences, to reason, to interpret, to generalize. All these abilities belong to only people who are assumed the most intelligence creature in the universe. Also the movements and the behaviors of animals are considered a reference.
Information privacy, or data privacy is the relationship between distribution of data, technology, the public expectation of privacy, and the legal and political issues surrounding them.