Row 7038

Row ID: 7038 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 7038 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I seem to have stumbled upon a problem that i can't google my way out of.

**\[MY TRAINING DATA\]** I have a dataset of bunch of sequential events. each event has 30-40 attributes, including the timestamp the event occured.

user 1: Event 1 > Event 2 > Event 3 user 2: Event 1 > Event 2 > Event 3 > Event 4 > Event 5 user 3: Event 1 ....

**\[THE PROBLEM TO SOLVE\]** I have a dataset of events, but i do not know which events belongs to which users. those users are different than the training set users, but we are infering they behave the same. For each event X, I need to solve for X. I need to figure out in what order that event occured. is it event 1? event 2? event 3?

if X > 1, then event X-1 is also present in the dataset, although i have no way of linking them.

**\[CURRENT APPROACH\]** my manager is pushing to use LSTMs or transformers. I don't have much experience with them, but after doing some research i don't think its the correct approach. in fact, my research doesnt seem to have anything on this problem. am i the only one in the world who has it? ideas welcome. thanks (:

FieldValue
text I seem to have stumbled upon a problem that i can't google my way out of. **\[MY TRAINING DATA\]** I have a dataset of bunch of sequential events. each event has 30-40 attributes, including the timestamp the event occured. user 1: Event 1 > Event 2 > Event 3 user 2: Event 1 > Event 2 > Event 3 > Event 4 > Event 5 user 3: Event 1 .... **\[THE PROBLEM TO SOLVE\]** I have a dataset of events, but i do not know which events belongs to which users. those users are different than the trai…
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-14
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url_encoded Z0FBQUFBQm5Lak9HU2FIdWZiSHRxVWV0elFWbEk0Sk9WU3E2dHE2MHhIMG1BUjJzTGxjMHZpVE5zdEYxSFZObFYzUnhCUDRZVE4wVDhoa090M1NySHA1eW8weDg2TFFSWXBIVjl1YUI3ZEdCeUNHcGdmSkVzd3J2S0plTTBhODlSbmFfY1c1VzAzbDNWS2wxZm52YlBnaGF6VWc3b3R4RmRNT3YwcHZwLWp4SXdDYjJncG1tbzVDNjBJWmRXUUVkOXAzd2J0WVVsclEyQV9Fb0s1a3VJRy1GMVNVMFVfajdodz09

Raw Record

{
  "text": "I seem to have stumbled upon a problem that i can't google my way out of.\n\n**\\[MY TRAINING DATA\\]**  \nI have a dataset of bunch of sequential events. each event has 30-40 attributes, including the timestamp the event occured.\n\nuser 1: Event 1 > Event 2 > Event 3  \nuser 2: Event 1 > Event 2 > Event 3 > Event 4 > Event 5  \nuser 3: Event 1  \n....\n\n**\\[THE PROBLEM TO SOLVE\\]**  \nI have a dataset of events, but i do not know which events belongs to which users. those users are different than the training set users, but we are infering they behave the same.  \n   \nFor each event X, I need to solve for X. I need to figure out in what order that event occured. is it event 1? event 2? event 3?  \n\nif X > 1, then event X-1 is also present in the dataset, although i have no way of linking them.\n\n**\\[CURRENT APPROACH\\]**  \nmy manager is pushing to use LSTMs or transformers. I don't have much experience with them, but after doing some research i don't think its the correct approach. in fact, my research doesnt seem to have anything on this problem. am i the only one in the world who has it? ideas welcome. thanks (:",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-14",
  "username_encoded": "Z0FBQUFBQm5LakwzU25qbEFESlRmTF9ZYVVpdG5JWTMtWWFLYzNnVFJoZ2d5bHJJWjhYVVdtcTM1cE5lNlB1TjZURUNMS3pUMkVYQVM4N3BfeE9fc29HR0QxM3RGSTdjd1N2R1FtaGthUnNRNndEOWx1cnhRSms9",
  "url_encoded": "Z0FBQUFBQm5Lak9HU2FIdWZiSHRxVWV0elFWbEk0Sk9WU3E2dHE2MHhIMG1BUjJzTGxjMHZpVE5zdEYxSFZObFYzUnhCUDRZVE4wVDhoa090M1NySHA1eW8weDg2TFFSWXBIVjl1YUI3ZEdCeUNHcGdmSkVzd3J2S0plTTBhODlSbmFfY1c1VzAzbDNWS2wxZm52YlBnaGF6VWc3b3R4RmRNT3YwcHZwLWp4SXdDYjJncG1tbzVDNjBJWmRXUUVkOXAzd2J0WVVsclEyQV9Fb0s1a3VJRy1GMVNVMFVfajdodz09"
}
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