Pre-print of Joeran Beel‚ Stefan Langer‚ Bela Gipp‚ and Andreas Nürnberger. 2014. The Architecture and Datasets of Docear’s Research Paper Recommender System. In Proceedings of the 3rd International Workshop on Mining Scientific Publications (WOSP 2014) at the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2014). Downloaded from http://www.docear.org. The Architecture and Datasets of Docear’s Research Paper Recommender System Joeran Beel Stefan Langer Otto-von-Guericke University
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Introduction to Data Mining Summer‚ 2012 Homework 3 Due Monday June.11‚ 11:59pm May 22‚ 2012 In homework 3‚ you are asked to compare four methods on three different data sets. The four methods are: • Indicator Response Matrix Linear Regression to the Indicator Response Matrix. You need to implement the ridge regression and tune the regularization parameter. The material of this algorithm can be found in Page 103 to Page 106 in the book ”The Elements of Statistical Learning” (http://www-stat
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energy innovations and solutions have been hindered by lack of research data on how people use electricity in their homes during the course of the day. But for the past two years‚ one U.S. university has attacked the problem directly. Students and faculty conducting energy and smart grid research at the University of Texas have had access to a treasure trove of knowledge found nowhere else on earth: billions of time-stamped data records from the Pecan Street Research Institute’s original field research
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Using Data Flow Diagrams Data flow diagram is used by system analyst to put together a graphical representation of data processes throughout the organization. It depicts the broadest possible overview of system inputs‚ processes‚ and outputs. A series of layered data flow diagrams may be used to represent and analyze detailed procedures in the larger system. By using combinations of only four symbols‚ the system analyst can create a pictorial depiction of processes that will eventually provide
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Data Collection QNT/351 April 1‚ 2013 This paper will cover the steps in testing a research hypothesis. This paper will cover comparing the means of two or more groups pay scale and we will use the graduate students from the University of Phoenix to compare data. Also included in this paper will be the calculation correlation between the two variables. There are five steps that are used in testing a hypothesis to support beliefs about comparisons‚ groups or variables. The first thing we have
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DATA MINING FOR POTENTIAL CUSTOMERS: East – West Airlines/Telcon Jermaine Paul 12/12/2013 BUSINESS PROBLEM East-West Airlines (EA) is entering into partnership with the cellular service provider‚ Telcon‚ by marketing their service through direct mail. In order to achieve this‚ EA dataset is provided to categorize their customers to identify which ones would be likely to purchase Telcon’s services through direct mail. If the accurate categorization is done the partnership will save
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Benefits of Fleet Management Data Integration NAME DBM 502 University of Phoenix Benefits of Fleet Management Data Integration Abstract Huffman Trucking maintains extensive vehicle fleet maintenance logs‚ with data on vehicles‚ parts‚ tires‚ maintenance‚ warranty‚ costs and dates of service. Management wants to know whether it would be strategically advisable to integrate this information into their current data warehouse and how to leverage it. Investigation shows that there could be significant
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Data warehousing and current trends Submitted to: Mr. S. Ramanathan TABLE OF CONTENTS 1. Executive Summary 2. Data warehousing basics‚ difference from database and its business implication 3. Data mining‚ businesses using it and how 4. ETL technology‚ businesses using it and how 5. Tools used 6. Data mart and difference in business implication 7. References EXECUTIVE SUMMARY This study takes an insight into the usage of data warehousing and data mining
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manage large volumes of business data. The use of database systems in supporting applications that employ query based report generation continues to be the main traditional use of this technology. However‚ the size and volume of data being managed raises new and interesting issues. Can we utilize methods wherein the data can help businesses achieve competitive advantage‚ can the data be used to model underlying business processes‚ and can we gain insights from the data to help improve business processes
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US Census Bureau Data Collection Project IT/205 May 31st‚ 2013 Chester Grice US Census Bureau The (FDCA) commonly known as the Field Data Collection Automation program is a very important thing in the U.S. Census Bureau. The program’s efforts to make the counting process more efficient by using hand-held electronic devices would have made things much easier‚ had they went as planned. The Census Bureau’s ability effectively and accurately receives and handle census data is integral to the
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