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230 Articles

Joe's Coin Shop: Entry into Online Auctions (Pearson Cases

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Language: English

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Easily retrieve or sample data or text from CSV or Excel files, SQL databases, or Apache Spark Big Data clusters. With the aid of SPSS, they were able to build a propensity model for the remortgage offer showing the types of clients attracted to this product.... We can show this as a horizontal tree as follows: The reverse of drill-down (called roll-up) applied to this data cube results in the previous cube with two values (week 1 and week 2) along the time dimension.

Web Engineering: 11th International Conference, ICWE 2011,

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Language: English

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For example, data analytics makes it easier to keep tabs on hospital materials and inventory since the process is performed electronically. Data gathered for Health Informatics research does exhibit many of these qualities. In contrast with previous solutions, our model is data-derived and semantically meaningful. In addition to enhancing data collection, loyalty cards can represent a significant switching cost.

Computational Intelligence in Economics and Finance

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Language: English

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Hadoop Distributed File System for faster ‘reading from’ and ‘loading to’ performance and scalability. As an extra, you can try to perform clustering to find the different types of volcanoes as mentioned in Burl et Al.'s paper. For example, assume you run a marketing campaign with advertising across multiple channels. For a small fee you can get the industry's best online privacy or publicly promote your presentations and slide shows with top rankings.

Biodiversity Databases: Techniques, Politics, and

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Language: English

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Place widgets on the canvas, connect them, load your datasets and harvest the insight! This lecture will teach you about the potentials and risks of storing Big Data. Amazon discovered that before launching its cloud offering it was using only about 10% of its server capacity the vast majority of the time. Garcia-Molina is working on computer science tools that will keep databases from extracting too much personal information while slicing and dicing.

Microsoft Office Professional 2013 Plain & Simple

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Language: English

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Rattle (the R Analytical Tool To Learn Easily) presents statistical and visual summaries of data, transforms data into forms that can be readily modelled, builds both unsupervised and supervised models from the data, presents the performance of models graphically, and scores new datasets. A number can be qualitative too: if I tell you my favorite number is 5, that is qualitative data because it is descriptive, not the result of a measurement or mathematical calculation.

Processing and Managing Complex Data for Decision Support

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Language: English

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An extensive set of analytical function libraries and data visualization capabilities are also provided. Figure 2 (below) introduces a novel and unique view of data, its categories and its relationship to meaning, which I call somewhat cheekily “Mind over Matter.” Figure 2: Mind over Matter and the Heart of Meaning. NET, Visual Basic, C/C++, Visual C++, and MFC. They are likely to find or tweak inexpensive hardware, whereas a major software company with a monopoly may push users to buy very specific and expensive gear.

Computational Linguistics and Intelligent Text Processing:

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Advertising will target potential customers with new precision. RFID tags, sensors and smart metering are driving the need to deal with torrents of data in near-real time. This book provides a view into the topic that executives, managers, and practitioners require, and includes: Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic.

Managing and Mining Sensor Data

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Language: English

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Size: 14.53 MB

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Traditional data management assumes that the warehoused data is certain, clean, and precise. In some cases, such as with an e-book, you may only have the ability to read the data. Putting these data sets in the public domain, via public data repositories or into data analysis competitions hosted by third parties (e.g., Kaggle ), can help ensure that they will get analysed. Health care is another hot area for data scientist hiring; with its widespread and ongoing migration to electronic patient records, the medical industry is building data sets to rival the largest enterprises.

Introducing Microsoft SQL Server 2014

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Language: English

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This means that biologists must learn to use cutting-edge computational technologies, but, as Zola says, that "puts a pressure on information technology experts to deliver efficient solutions that are easy to adopt by the domain experts, yet hide the complexity of the underlying algorithm, software, and hardware architecture without sacrificing the efficiency." The implementation of the polynomial distributed lag methods in the Time Series module will estimate models with unconstrained lags as well as (constrained) Almon distributed lags models.

Clint Eastwood: Interviews (Conversations with Filmmakers)

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This data is interrelated and their schema might be different depending of the type of information being stored. Automatic methods for deployment of the final Random Forests solution for classification or regression prediction are also provided. Private Data Analysis via Output Perturbation. The visual technique Z-score determines whether the difference between two proportions is statistically significant. Genetic algorithms: Optimization techniques that use processes such as genetic combination, mutation, and natural selection in a design based on the concepts of natural evolution.