Data mining

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    what data mining was. I never fathomed that it could be something that would be so useful in the health care field today. However, I was very aware of the changing technology on a daily bases today. As nurses, we have to stay up to date with the changing technologies and grow with it. We must continue our education and practice efficiently. Since we will be new graduate nurses and will experience even more technological change, it is important for us to understand all of this. Data mining is…

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    Data mining, also known as knowledge discovery in databases, is a computerized process of skimming through large amounts of raw data and extracting essential new, hidden or unanticipated information that can be resourceful for performing various analytical functions. It is categorized into two divisions: verification…

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    A COMPARITIVE STUDY OF NEAREST NEIGHBOUR ALGORITHM AND GENETIC ALGORITHM IN SOLVING TRAVELLING SALESMAN PROBLEM Ajaz Ahmed Khan Electronics and communication department SSGI FET Bhilai, India ajz70277@gmail.com Mrs. Himani Agrawal Electronics and communication department SSGI FET Bhilai, India Abstract—In this paper, we have used two algorithms, i.e. the Nearest Neighbor algorithm and Genetic Algorithm to solve the Travelling Salesman problem. The Travelling Salesman…

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    3.7. Thermogravimetric analysis The thermogravimetric curves of MCC, TCSt, pure PNAI, and PNAI/TCSt composite were illustrated in Fig. 4. Where MCC lost about 90 % of its original weight by increasing the temperature up to 300°C due to the decomposition of cellulose, TCSt lost about 45% of its weight at 199-252 oC this was in agreement with Freire et al. and Jandura et al. reports [41, 44], who explained the early decomposition of fatty acyl cellulose with long chain substitution (C11-C18) by…

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    Introduction Predictive analysis is a practice wherein analysis of historical data of customer is done in order to accurately predict his probable preferences in the future. Amongst its umpteen applications, the one pertaining to emails is that it allows individuals to personalize emails based on previous engagement and browsing behavior including google searches and AdWords. It also allows predictions about the product and the brand preferences, the likelihood to buy and their lifetime value.…

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    Fuzzy Logic Case Study

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    CHAPTER 4 IMPLICIT RELATIONS ON WIKIPEDIA USING ASSOCIATION LINK NETWORK Finding the semantic similarity, use the Fuzzy Cognitive Mapping Daniel (2009). Fuzzy logic is a form of much logical value. Compared to traditional binary sets fuzzy logic variables may have a truth value that ranges in degree between -1 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false. A…

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    Traveling Salesman Problem (TSP) is one of combinatorial optimization problems. X TSP is NP-hard problem which defined as a set of cities and each city should be visited once with minimum tour length. This paper solved this problem using Firefly Algorithm (FA) and k-means clustering by three steps: cluster the nodes, finding optimal path in each cluster and connect the clusters. The first step is to divide all nodes into sub-problems using k-means clustering, the second step is to use FA to find…

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    treatments methods). With technology advancement, the risk can be measured through the emerging concepts such as data from wearable devices, genetic profiling, and driving behaviors, predictive modeling analytics and some mortality indexes. This information along with the latest inventions in solving the underlying issues can be used to perform an evidence based underwriting. With large of amount of data from all different sources, an underwriter job will be extremely difficult without…

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    clock? What is data mining? Who collects and keeps our personal info? Is our search on Google in danger of being leaked? Are our phone calls being spied on by the National Security Agency [NSA]? When we have a person come to our house to repair or deliver something the person driving usually gives us an exact time that they are going to be there. I have also heard about tracking devices company-owned cars that track employee’s movement in the car. For many years now have I heard about data…

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    Social Media Data Analysis

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    Having the necessary information is crucial in almost any area, especially for research and development. The purpose of collecting data is primarily for knowledge discovery, then for further consideration. In other words, all websites gather people’s information and base on them to explore their behaviours and trends. From there, they will shape the browsing experience that match each person’s preference in the future. As mentioned above, social media, especially Facebook and Google, track all…

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