Examiner des modifications individuelles
Cette page vous permet d'examiner les variables générées pour une modification individuelle par le filtre antiabus et de les tester avec les filtres.
Variables générées pour cette modification
| Variable | Valeur |
|---|---|
Si la modification est marquée comme mineure ou non (minor_edit) | |
Nom du compte d’utilisateur (user_name) | GGLCindi649 |
Groupes (y compris implicites) dont l'utilisateur est membre (user_groups) | *
user
autoconfirmed
|
Si un utilisateur est ou non en cours de modification via l’interface mobile (user_mobile) | |
Numéro de la page (article_articleid) | 3218 |
Espace de noms de la page (article_namespace) | 2 |
Titre de la page (sans l'espace de noms) (article_text) | GGLCindi649 |
Titre complet de la page (article_prefixedtext) | Utilisateur:GGLCindi649 |
Action (action) | edit |
Résumé/motif de la modification (summary) | |
Ancien modèle de contenu (old_content_model) | wikitext |
Nouveau modèle de contenu (new_content_model) | wikitext |
Ancien texte de la page, avant la modification (old_wikitext) | %About_Yourself% |
Nouveau texte de la page, après la modification (new_wikitext) | As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee technique that will change intermediaries with cryptographic methods and needs to be embedded within the analysis areas of SIGeBIZ and SIGSEC. On this paper we propose to remedy this problem by utilizing the strategies originally developed for the computer-aided analysis for hardware and software methods, in particular these primarily based on the timed automata. In this paper we introduce a instrument [https://uchatoo.com/post/123406_https-www-analyticsinsight-net-where-to-buy-bitcoin-2022-defending-the-privacy-o.html where to buy bitcoin] review and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper offers an evaluation of the current state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to be able [https://dfb885.com/home.php?mod=space&uid=200710 where to buy bitcoin] separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Generally, ui(t) features a couple of abrupt modifications, partitioning the history of Bitcoin into separate time periods. Within the initial section is excessive, fluctuating around (see Fig. 5), probably a results of transactions going down between addresses belonging to a couple lovers making an attempt out the Bitcoin system by transferring money between their own addresses. |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-%About_Yourself%
+As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee technique that will change intermediaries with cryptographic methods and needs to be embedded within the analysis areas of SIGeBIZ and SIGSEC. On this paper we propose to remedy this problem by utilizing the strategies originally developed for the computer-aided analysis for hardware and software methods, in particular these primarily based on the timed automata. In this paper we introduce a instrument [https://uchatoo.com/post/123406_https-www-analyticsinsight-net-where-to-buy-bitcoin-2022-defending-the-privacy-o.html where to buy bitcoin] review and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper offers an evaluation of the current state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to be able [https://dfb885.com/home.php?mod=space&uid=200710 where to buy bitcoin] separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Generally, ui(t) features a couple of abrupt modifications, partitioning the history of Bitcoin into separate time periods. Within the initial section is excessive, fluctuating around (see Fig. 5), probably a results of transactions going down between addresses belonging to a couple lovers making an attempt out the Bitcoin system by transferring money between their own addresses.
|
Lignes ajoutées lors de la modification (added_lines) | As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee technique that will change intermediaries with cryptographic methods and needs to be embedded within the analysis areas of SIGeBIZ and SIGSEC. On this paper we propose to remedy this problem by utilizing the strategies originally developed for the computer-aided analysis for hardware and software methods, in particular these primarily based on the timed automata. In this paper we introduce a instrument [https://uchatoo.com/post/123406_https-www-analyticsinsight-net-where-to-buy-bitcoin-2022-defending-the-privacy-o.html where to buy bitcoin] review and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper offers an evaluation of the current state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to be able [https://dfb885.com/home.php?mod=space&uid=200710 where to buy bitcoin] separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Generally, ui(t) features a couple of abrupt modifications, partitioning the history of Bitcoin into separate time periods. Within the initial section is excessive, fluctuating around (see Fig. 5), probably a results of transactions going down between addresses belonging to a couple lovers making an attempt out the Bitcoin system by transferring money between their own addresses.
|
Horodatage Unix de la modification (timestamp) | 1647799950 |
