...10000 quiz questions and answers www.cartiaz.ro 10000 general knowledge questions and answers 10000 general knowledge questions and answers www.cartiaz.ro No Questions Quiz 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 Carl and the Passions changed band name to what How many rings on the Olympic flag What colour is vermilion a shade of King Zog ruled which country What colour is Spock's blood Where in your body is your patella Where can you find London bridge today What spirit is mixed with ginger beer in a Moscow mule Who was the first man in space What would you do with a Yashmak Who betrayed Jesus to the Romans Which animal lays eggs On television what was Flipper Who's band was The Quarrymen Which was the most successful Grand National horse Who starred as the Six Million Dollar Man In the song Waltzing Matilda - What is a Jumbuck Who was Dan Dare's greatest enemy in the Eagle What is Dick Grayson better known as What was given on the fourth day of Christmas What was Skippy ( on TV ) What does a funambulist do What is the name of Dennis the Menace's dog What are bactrians and dromedaries Who played The Fugitive Who was the King of Swing Who was the first man to fly across the channel Who starred as Rocky Balboa In which war was the charge of the Light Brigade Who invented the television Who would use a mashie niblick In the song who killed Cock Robin What do deciduous...
Words: 123102 - Pages: 493
...Para os meus pais, porque "o valor das coisas não está no tempo que elas duram, mas na intensidade com que acontecem. Por isso existem momentos inesquecíveis, coisas inexplicáveis e pessoas incomparáveis" como vocês! Obrigado por tudo, Filipe Abstract The Retail Banking Industry has been severely affected by fraud over the past few years. Indeed, despite all the research and systems available, fraudsters have been able to outsmart and deceive the banks and their customers. With this in mind, we intend to introduce a novel and multi-purpose technology known as Stream Computing, as the basis for a Fraud Detection solution. Indeed, we believe that this architecture will stimulate research, and more importantly organizations, to invest in Analytics and Statistical Fraud-Scoring to be used in conjunction with the already in-place preventive techniques. Therefore, in this research we explore different strategies to build a Streambased Fraud Detection solution, using advanced Data Mining Algorithms and Statistical Analysis, and show how they lead to increased accuracy in the detection of fraud by at least 78% in our reference dataset. We also discuss how a combination of these strategies can be embedded in a Stream-based application to detect fraud in real-time. From this perspective, our experiments lead to an average processing time of 111,702ms per transaction, while strategies to further improve the performance are discussed. Keywords: Fraud Detection, Stream Computing, Real-Time...
Words: 56858 - Pages: 228
...Para os meus pais, porque "o valor das coisas não está no tempo que elas duram, mas na intensidade com que acontecem. Por isso existem momentos inesquecíveis, coisas inexplicáveis e pessoas incomparáveis" como vocês! Obrigado por tudo, Filipe Abstract The Retail Banking Industry has been severely affected by fraud over the past few years. Indeed, despite all the research and systems available, fraudsters have been able to outsmart and deceive the banks and their customers. With this in mind, we intend to introduce a novel and multi-purpose technology known as Stream Computing, as the basis for a Fraud Detection solution. Indeed, we believe that this architecture will stimulate research, and more importantly organizations, to invest in Analytics and Statistical Fraud-Scoring to be used in conjunction with the already in-place preventive techniques. Therefore, in this research we explore different strategies to build a Streambased Fraud Detection solution, using advanced Data Mining Algorithms and Statistical Analysis, and show how they lead to increased accuracy in the detection of fraud by at least 78% in our reference dataset. We also discuss how a combination of these strategies can be embedded in a Stream-based application to detect fraud in real-time. From this perspective, our experiments lead to an average processing time of 111,702ms per transaction, while strategies to further improve the performance are discussed. Keywords: Fraud Detection, Stream Computing, Real-Time...
Words: 56858 - Pages: 228
...62118 0/nm 1/n1 2/nm 3/nm 4/nm 5/nm 6/nm 7/nm 8/nm 9/nm 1990s 0th/pt 1st/p 1th/tc 2nd/p 2th/tc 3rd/p 3th/tc 4th/pt 5th/pt 6th/pt 7th/pt 8th/pt 9th/pt 0s/pt a A AA AAA Aachen/M aardvark/SM Aaren/M Aarhus/M Aarika/M Aaron/M AB aback abacus/SM abaft Abagael/M Abagail/M abalone/SM abandoner/M abandon/LGDRS abandonment/SM abase/LGDSR abasement/S abaser/M abashed/UY abashment/MS abash/SDLG abate/DSRLG abated/U abatement/MS abater/M abattoir/SM Abba/M Abbe/M abbé/S abbess/SM Abbey/M abbey/MS Abbie/M Abbi/M Abbot/M abbot/MS Abbott/M abbr abbrev abbreviated/UA abbreviates/A abbreviate/XDSNG abbreviating/A abbreviation/M Abbye/M Abby/M ABC/M Abdel/M abdicate/NGDSX abdication/M abdomen/SM abdominal/YS abduct/DGS abduction/SM abductor/SM Abdul/M ab/DY abeam Abelard/M Abel/M Abelson/M Abe/M Aberdeen/M Abernathy/M aberrant/YS aberrational aberration/SM abet/S abetted abetting abettor/SM Abeu/M abeyance/MS abeyant Abey/M abhorred abhorrence/MS abhorrent/Y abhorrer/M abhorring abhor/S abidance/MS abide/JGSR abider/M abiding/Y Abidjan/M Abie/M Abigael/M Abigail/M Abigale/M Abilene/M ability/IMES abjection/MS abjectness/SM abject/SGPDY abjuration/SM abjuratory abjurer/M abjure/ZGSRD ablate/VGNSDX ablation/M ablative/SY ablaze abler/E ables/E ablest able/U abloom ablution/MS Ab/M ABM/S abnegate/NGSDX abnegation/M Abner/M abnormality/SM abnormal/SY aboard ...
Words: 113589 - Pages: 455