14 research outputs found

    Nonparametric Bayesian Modeling for Automated Database Schema Matching

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    The problem of merging databases arises in many government and commercial applications. Schema matching, a common first step, identifies equivalent fields between databases. We introduce a schema matching framework that builds nonparametric Bayesian models for each field and compares them by computing the probability that a single model could have generated both fields. Our experiments show that our method is more accurate and faster than the existing instance-based matching algorithms in part because of the use of nonparametric Bayesian models

    The Grizzly, September 20, 1994

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    Sweeping Changes for Pledging • Berry \u27Suspends\u27 Campaign • Selling of a Folk Tradition • Clinton Shows Decisiveness • Plane Crashes Into White House • Campus Organizations Unite • Sororities: Disturbing the Peace or Boosting Self-Esteem? • Attention Seniors! • Ursinus Represented at Miss America Pageant • Apathy • Wismer Observations • A Personal Look at Who\u27s Among Us • New Works at Berman • CAB Update • Jazz Group Bright Moments to Perform Saturday • Voice of Ursinus Reborn • Ellie Keeps Mail Room Running Smoothly • The Lights are on, but Nobody\u27s Home • Program Offers Cultural Exchange • Martial Arts Club Available for Students • Taking Advantage of an Opportunity • UC Field Hockey Blanks Davis and Elkins • UC Football Impressive in Winhttps://digitalcommons.ursinus.edu/grizzlynews/1340/thumbnail.jp

    The Grizzly, October 11, 1994

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    The Last Pledging Season? • Homecoming \u2794 a Success • The American Sexual Landscape • Fire, Fire! • Religious Sect Linked to Murder-Suicides • Campus Artwork Encounters Vandalism • Soup Kitchen Visit Provides Eye-Opening Experience • Retired Officer Expresses Thanks to Ursinus Community • Celebrate National Coming Out Day with GALA • Red and Gold Students Storm the Campus • Security Officer Larry Kirlin Leaves Ursinus • Memories of Homecoming 1994 • A Healthy Outlook on Life • Update From Career Planning & Placement • An Open Letter to President Richter • UC Soccer Wins in Closing Minutes • Walker Memorial Winners • Golley Wins McIntyre Award • UC Wins On Homecoming, 21-20https://digitalcommons.ursinus.edu/grizzlynews/1343/thumbnail.jp

    Detection of epistatic effects in genetic data.

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    Epistasis is defined as the phenotypic variation which is not explained by additive effects of individual markers. The detection of epistasis is generally viewed as a difficult problem, primarily because of the difficulty in estimating statistical significance of putative epistatic effects. This thesis utilizes a new model of epistatic effects which is allele-based rather than locus-based. It is a departure from traditional methods in that it begins with the search for epistatic loci rather than first finding individual active loci and then looking for interactions among them. The method is applicable to quantitative traits from four-way cross experimental designs. Multiple methods of estimating statistical significance are developed and compared on UM-HET3/Muscle data from the University of Michigan. These methods require much less computational work than permutation approximations. Permutation approximation methods are only feasible up to interactions of two alleles, whereas the new proposed methods are feasible up to interactions of four alleles (or five, using the proposed methods of marker elimination). It is shown that the distribution of the score of causal epistatic effects follows a non-central chi-squared distribution. Application of this fact leads to an estimation of the data requirements for detecting epistatic effects of given strengths, and to a method for trading power against computational work by eliminating markers which are likely to be irrelevant to the epistatic effects. Epistatic effects were found on many phenotypes and the results are tabulated along with the various estimates of significance. Results indicate the presence of combinations of alleles which together have statistically significant effects on the phenotype but whose main effects are not significant, a fact which supports the view of epistasis as the primary mechanism in the determination of physiological traits. Post-hoc analysis verifies the validity (in this case) of replacing the commonly used permutation-based methods of significance estimation with parametric analyses of the phenotypes, as is required in the main methods of this thesis. Post-hoc analysis also suggests means of further optimizing the estimations of significance, although additional research will be required.Ph.D.Biological SciencesGeneticsMathematicsPure SciencesStatisticsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/123840/2/3106062.pd

    Network Intrusion Detection and Visualization Using Aggregations in a Cyber Security Data Warehouse

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    Zadovoljstvo poslom do sada se puno proučavalo u pokušaju razumijevanja ponašanja i stavova zaposlenika. Ova tema posebno se istraživala u prodaji jer se pokazalo kako zadovoljstvo poslom prodajnog osoblja utječe na niz ključnih stavova koji se odnose na posao i ponašanje zaposlenika. Zadovoljstvo poslom će zaposlenicima pružiti osjećaj ispunjenosti, postignuća pa će stoga i uživati na svom poslu. Takvi osjećaji mogu učiniti ljude produktivnijima, kreativnijima, a samim time i profitabilnijima za organizaciju u kojoj rade. Na taj način organizacije ostaju u koraku s konkurencijom ili čak ostvaraju konkurentnu prednost nad ostalima. Cilj ovog rada je istražiti zadovoljstvo prodajnog osoblja sustavom nagrađivanja kojeg koriste njihova poduzeća. U teorijskom dijelu prikazana je uloga prodaje u organizaciji te njezini zadaci. Naglasak je također stavljen na materijalno nagrađivanje i nematerijalno motiviranje zaposlenika kao i njihovu primjena. Objašnjeni su pojedini čimbenici zadovoljstva poslom kako oni organizacijski tako i osobni. Osmišljen je i anketni upitnik kojim se istražilo zadovoljstvo prodajnog osoblja. Rezultati istraživanja pokazuju kako postoje razlike u zadovoljstvu zaposlenih ovisno o njihovoj dobi, razini obrazovanja, položaju na radnom mjestu, godinama radnog staža te o veličini poduzeća u kojem rade. U radu se također uzima u obzir i ovisnost sustava nagrađivanja sa zadovoljstvom prodajnog osoblja, tj. prikazuje se zadovoljstvo prodavača ovisno o nagrađivanju kojega koriste njihove organizacije.Job satisfaction has been studied so far in an attempt to understand employees' behaviors and attitudes. This topic has been specifically researched in sales as it has been shown that job satisfaction of sales personnel influences a number of key attitudes related to business and employee behavior. Job satisfaction will give employees a sense of fulfillment, accomplishment and therefore enjoy their job. Such feelings can make people more productive, more creative, and therefore more profitable for the organization in which they work. In this way, organizations stay abreast of competition or even gain a competitive edge over others. The aim of this thesis is to investigate the satisfaction of sales staff with the reward system used by their employer. The theoretical part outlines the role of sales in the organization and its tasks. Emphasis is also placed on the material rewards and intangible motivation of employees as well as their application. Some factors of job satisfaction, both organizational and personal, are explained. A survey questionnaire was also designed to investigate the satisfaction of sales staff. The results of the survey show that there are differences in employee satisfaction depending on their age, level of education, position in the workplace, years of service and the size of the company in which they work. The paper also takes into account the dependence of the reward system on the satisfaction of sales staff, that is, the satisfaction of sellers is shown depending on the reward used by their organizations
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