{"action":"closed","issue":{"url":"https://api.github.com/repos/ChrizZz110/bdp-string-sim/issues/8","repository_url":"https://api.github.com/repos/ChrizZz110/bdp-string-sim","labels_url":"https://api.github.com/repos/ChrizZz110/bdp-string-sim/issues/8/labels{/name}","comments_url":"https://api.github.com/repos/ChrizZz110/bdp-string-sim/issues/8/comments","events_url":"https://api.github.com/repos/ChrizZz110/bdp-string-sim/issues/8/events","html_url":"https://github.com/ChrizZz110/bdp-string-sim/issues/8","id":159776121,"number":8,"title":"[Processing] Naiver Ansatz B (mit 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vorstellen","creator":{"login":"ChrizZz110","id":18614530,"avatar_url":"https://avatars.githubusercontent.com/u/18614530?v=3","gravatar_id":"","url":"https://api.github.com/users/ChrizZz110","html_url":"https://github.com/ChrizZz110","followers_url":"https://api.github.com/users/ChrizZz110/followers","following_url":"https://api.github.com/users/ChrizZz110/following{/other_user}","gists_url":"https://api.github.com/users/ChrizZz110/gists{/gist_id}","starred_url":"https://api.github.com/users/ChrizZz110/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ChrizZz110/subscriptions","organizations_url":"https://api.github.com/users/ChrizZz110/orgs","repos_url":"https://api.github.com/users/ChrizZz110/repos","events_url":"https://api.github.com/users/ChrizZz110/events{/privacy}","received_events_url":"https://api.github.com/users/ChrizZz110/received_events","type":"User","site_admin":false},"open_issues":4,"closed_issues":17,"state":"open","created_at":"2016-05-09T07:21:56Z","updated_at":"2016-08-01T12:18:31Z","due_on":"2016-08-02T22:00:00Z","closed_at":null},"comments":0,"created_at":"2016-06-11T14:29:31Z","updated_at":"2016-08-01T12:18:31Z","closed_at":"2016-08-01T12:18:31Z","body":"Hierbei  werden die durch die Tokenisierung erzeugten Triplets beider zu vergleichender Zeichenketten verwendet. Diese werden in Schleifendurchläufen naiv mittels String-compare verglichen. Mit Hilfe der Dice-Metrik wird ein Similarity-Wert berechnet, der zusammen mit den IDs der Zeichenketten gespeichert wird.\r\n\r\nBsp. Vergleiche `bach` mit `dach`\r\n\r\n1. Tokenisierung  \r\n`String x[] = {__b, _ba, bac, ach, ch_, h__}`  \r\n`String y[] = {__d, _da, dac, ach, ch_, h__}`\r\n2. Schleife und Vergleich (Naiv, geht natürlich auch besser!)  \r\n`for(int i = 0; i < x.length; i++)`  \r\n`for(int j = 0; j < y.length; j++)`  \r\n`strcmp(x[i],y[j])`  \r\n3. Per Dice Metrik similarity Wert berechnen\r\n4. Erzeuge `Tuple5<Integer(id_x),String(label_x),Integer(id_y),String(label_y),Float(sim_xy)>` \r\n\r\nDie Map/FlatMap Fuktion sollte die Möglichkeit bieten, dass per Parameter ein Similarity-Grenzwert angegeben werden kann. Wird ein Grenzwert zw. 0 und 1 angegeben (z.B. 0,8), werden nur Ergebnisse >= dieses Grenzwertes in die Ergebnismenge aufgenommen."}}
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