data-mining | Материалы к книге Классификация , регрессия , и другие | Data Mining library

So basically I'm doing a project for my Degree (I do EEE, but the subject is on Machine Learning). I want to get a list of all the Reuters news articles using web browser through C#. Once I get the individual HREF links I would use HTML Agility Pack to extract the text of the individual articles and do some data-mining.

But for a search I make (https://www.reuters.com/search/news?blob=Trump&sortBy=date&dateRange=all), there are thousands of results displayed, and I need to click on a "Load More Results" button on the page. I have tried certain methodologies found online, but it doesn't work! Any help would be appreciated!

The button's HTML description is the following:

Description:

Currently I am working on using Flink with an IOT setup. Essentially, devices are sending data such as (device_id, device_type, event_timestamp, etc) and I don't have any control over when the messages get sent. I then key the steam by device_id and device_type to preform aggregations. I would like to use event-time given that is ensures the timers which are set trigger in a deterministic nature given a failure. However, given that this isn't always a high throughput stream a window could be opened for a 10 minute aggregation period, but not have its next point come until approximately 40 minutes later. Although the calculation would aggregation would eventually be completed it would output my desired result extremely late.

So my work around for this is to create an additional external source that does nothing other than pump fake messages. By having these fake messages being pumped out in alignment with my 10 minute aggregation period, even if a device hadn't sent any data, the event time windows would have something to force the windows closed. The critical part here is to make it possible that all parallel instances / operators have access to this fake message because I need to close all the windows with this single fake message. I was thinking that Broadcast state might be the most appropriate way to accomplish this goal given: "Broadcast state is replicated across all parallel instances of a function, and might typically be used where you have two streams, a regular data stream alongside a control stream that serves rules, patterns, or other configuration messages." Quote Source

Questions:

1. Is broadcast state the best method for ensuring all parallel instances (e.g. windows) receive my fake messages?
2. Once the operators have access to this fake message via the broadcast state can this fake message then be used to advance the event time watermark?

I try to run my machine-learning code on databricks(community version) and need to use the Orange3 data-mining library. However, when I tried to create the orange3 library, it gives an error like this:

i have build a URL-Routing FrontController in PHP. All works fine, but now i find a error, if i have more params then 2 it dont works, for example:

This URL works: "www.comelio.com/business-intelligence/anleser/"

but this URL dont works: "www.comelio.com/business-intelligence/data-mining/anleser/"

My Rewrite Rule:

I've got a set of data stored in a "numpy" array:

in Impute widget, there is option "Model-based(simple tree)" for imputation method

How to do this in Python Script Widget ?

from this documentation (https://docs.orange.biolab.si/3/data-mining-library/reference/preprocess.html#feature-selection) , i know how to Impute

I can't create one new column with the cumulative sum of another. Orange documentation is to hard to understand if you are new to Python like me.

This is the code i have in my Python Script Widget

Trying to practice Java by doing basic functionality like reading input.

I am trying to parse movies-sample.txt found in:

CAn anyone tell me please what is wrong with my code: Below is my spark code in scala: