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Inventory Allocation for Online Graphical Display Advertising  [PDF]
Jian Yang,Erik Vee,Sergei Vassilvitskii,John Tomlin,Jayavel Shanmugasundaram,Tasos Anastasakos,Oliver Kennedy
Computer Science , 2010,
Abstract: We discuss a multi-objective/goal programming model for the allocation of inventory of graphical advertisements. The model considers two types of campaigns: guaranteed delivery (GD), which are sold months in advance, and non-guaranteed delivery (NGD), which are sold using real-time auctions. We investigate various advertiser and publisher objectives such as (a) revenue from the sale of impressions, clicks and conversions, (b) future revenue from the sale of NGD inventory, and (c) "fairness" of allocation. While the first two objectives are monetary, the third is not. This combination of demand types and objectives leads to potentially many variations of our model, which we delineate and evaluate. Our experimental results, which are based on optimization runs using real data sets, demonstrate the effectiveness and flexibility of the proposed model.
The Shivplot: a graphical display for trend elucidation and exploratory analysis of microarray data
Owen Z Woody, Robert Nadon
Source Code for Biology and Medicine , 2006, DOI: 10.1186/1751-0473-1-6
Abstract: The shivplot, a graphical technique motivated by microarrays but applicable to any replicated high-throughput data set, is described. The plot capitalizes on the strengths of three well-established plotting graphics – a boxplot, a distribution density plot, and a variability vs intensity plot – by effectively combining them into a single representation.The utility of the new display is illustrated with microarray data sets. The proposed graph, retaining all the information of its precursors, conserves space and minimizes redundancy, but also highlights features of the data that would be difficult to appreciate from the individual display components. We recommend the use of the shivplot both for exploratory data analysis and for the communication of experimental data in publications.Microarrays [1] have provided a wealth of gene expression data for the biological community to interpret. The technology presents a snapshot of cellular transcription at an unprecedented level of detail, with certain array designs containing probes to assess expression levels of every known gene within the target organism's genome. Microarray data have been presented in an ever-growing number of publications, and confidence in the technology is growing as progress is made validating microarray findings.The analysis of microarray data remains challenging, however, for a number of reasons. The technology is expensive, often restricting the number of replications that can be run in an experiment. Moreover, the validity of various statistical models and their corresponding processing algorithms for gene expression data are being actively debated [2,3].One of the more daunting but unavoidable aspects of microarrays, as with all high-throughput systems, is the sheer volume of data that must be examined. Researchers are unable to develop comprehensive familiarity with each of the millions of data points available in a typical microarray data set. Multi-display graphical methods are thus key for
Graphical Contents  [cached]
Hakan Arslan
European Journal of Chemistry , 2011, DOI: 10.5155/eurjchem.2.2.ii-viii.454
Abstract: Graphical Contents
Graphical Contents  [cached]
Hakan Arslan
European Journal of Chemistry , 2011, DOI: 10.5155/eurjchem.2.1.iii-viii.432
Abstract: Graphical Contents
Graphical Contents  [cached]
Hakan Arslan
European Journal of Chemistry , 2012, DOI: 10.5155/eurjchem.3.3.ii-vii.680
Abstract: Graphical Contents
Graphical Contents  [cached]
Hakan Arslan
European Journal of Chemistry , 2013, DOI: 10.5155/eurjchem.4.1.ii-v.771
Abstract: Graphical Contents
Graphical Contents  [cached]
Hakan Arslan
European Journal of Chemistry , 2011, DOI: 10.5155/eurjchem.2.3.ii-vii.509
Abstract: Graphical Contents
Graphical Contents  [cached]
Hakan Arslan
European Journal of Chemistry , 2011, DOI: 10.5155/eurjchem.2.4.ii-viii.547
Abstract: Graphical Contents
Graphical Contents  [cached]
Hakan Arslan
European Journal of Chemistry , 2012, DOI: 10.5155/eurjchem.3.4.ii-vi.716
Abstract: Graphical Contents
Graphical Contents  [cached]
Hakan Arslan
European Journal of Chemistry , 2012, DOI: 10.5155/eurjchem.3.2.ii-vii.647
Abstract: Graphical Contents
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