Company Profile Company name: I3 Solution Pty Ltd ABN : 70 148 857 916 Address: 27 Oakland Avenue, Cloverdale 6105, WA, Australia Phone : +61 4 3090 8388 Website: www.i3solution.net.au Email: support@i3solution.net.au Company Founder Tat Thang Dang is a founder of I3 Solution Australia. He started his bachelor of Physics under special program for gifted student in Ho Chi Minh University of Natural Science. After finishing the foundation program of that degree, he moved to Australia and completed
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their capability to harness the power of analytics – From basic reporting on shrink to understanding the key drivers with high correlation to shrink and managing by exception with the help of predictive models. There is a need to utilize available data assets effectively by building capabilities to report, analyze and predict shrink accurately. This article reviews the trends in retail shrink, its sources and how analytical techniques can help attack shrink in a cost effective manner. Retail Shrink
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CHAPTER 2 DATA MINING TECHNIQUE OVERVIEW 2.1 Introduction In the 21st century as we are moving towards more and more online system, the databases have grown into terabytes. Within this huge data, information of importance needs to be identified. Since the evolution of human life, the people discover patterns. As farmer recognizes pattern of growth in the field, bank recognizes the earning and spending pattern of a customer and politicians seeks pattern in voter opinion. This huge amount of data needs
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collecting data. It was very difficult to get data, so people suggested various method, for collecting data, storing data and managing data, such as database management system (DBMS). But in today’s scenario, data is overwhelmingly enormous, DBMS is not compatible to handle such size of data. So we have situation where the data rich but information is poor. “If you don’t measure it, you can’t improve it”. This is a quote by Peter Drucker, a renowned management guru. In this new era, data collection
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techniques of data mining Social media sites are becoming more and more popular. These sites not only allow the people to be social with their friends but also allow users to share videos, images and other valuable information without any loss of time. These sites have multimedia data in bulk amount therefore it is necessary to mine these sites in a proper way to retrieve only relevant data. Due to the different structure of each media object the structure can’t be used as a criterion for mining For example
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despite of all the huge numbers the business is earning, there’s also instances of shortcomings such as unmonitored report of sales and bad debts, unorganized billing of bulk orders and unsecured storage of data. Data is gold when it comes to business, every future of businesses rely on the data especially in decision making process. Some businesses operate in the same way that they always have and some businesses
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potatoes [Coverage=0.189 (189); Support=0.082 (82); Strength=0.434; Lift=1.53; Leverage=0.0285 (28.5); p=5.30E-007] Assignment 1: Association Rules Association rules represent a learning method to discover relations and associations between groups of data. The purpose of the association rules is to find certain patterns in the items in a large database. This will enable us to discover the probability that one would buy a product, given the purchase of another product. There is a certain terminology
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Title: Emergent Topics – Cloud Computing I work for a medium size corporation and they need to integrate an abundance of data, but the current infrastructure is not enough for the BI functionality that is required. Purchasing backend hardware for data storage is becoming a thing of the past. In house costs of support, hardware purchase and maintenance, and facilities management can be extremely expensive. Modern technology has spawned cost effective alternatives that can challenge in-house
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property and installation and use of any activity monitoring device is hereby refused and prohibited. Informed consent is legally required for installation of any surveillance device and any device that will collect and transmit private and personal data to undisclosed and unauthorized parties for undisclosed and unauthorized purposes. Authorization for sharing of personal and private information may only be given by the originator and subject of that information. That authorization is hereby denied
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hdayanid, vkanlanji}@andrew.cmu.edu 1 Carnegie Mellon School of Computer Science, Pittsburgh, USA Abstract. In various ML-as-a-service cloud systems, the process of performing machine learning over the data is almost treated as a black box, where the user just feeds in their data, knows the model used and the system outputs required insights. In this work, we explore the idea of being able to predict sensitive attributes associated with the database given that the adversary would have
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