- ¥Ù¥ó¥Á¥ã©`ÌåòY¹¤·¿3
- Developing a Novel Pattern Mining Model to Discover Hidden Patterns in Fukushima Traffic Congestion Big Data
- - Japan Road Transportation Information Center (JARTIC) has set up the sensor network to monitor traffic congestion in Fukushima.
- Each road-segment in this network generates data at every 5-minute interval.
- Previous year, we have developed a data warehouse technology that generates data frames at 10 times faster than the state-of-the-art.
- This year, we plan to develop a novel pattern algorithm to discover hidden patterns. - ¥·¥é¥Ð¥¹Ô”¼š
2024Äê4ÔÂ
4ÔÂ8ÈÕ
ÊÚ˜IÄÚÈÝ£ºUnderstanding the Jartic System and Markdown Practice in Google collab and jupyter notebook to get familiarity with python programming language.
4ÔÂ15ÈÕ
ÊÚ˜IÄÚÈÝ£º1.Variables
2.Functions
3.String operations
4.Package Installation
5.Advanced operations
Learning basics of python and working with Dataframes
4ÔÂ22ÈÕ
ÊÚ˜IÄÚÈÝ£ºHands on Experience with jartic system and learning how to download traffic congestion data for 5 minutes, 1hour time gaps and understanding the data.
2024Äê5ÔÂ
5ÔÂ13ÈÕ
ÊÚ˜IÄÚÈÝ£ºLearning about the Qgis understanding how to load the files into qgis software, symbology, openstreetmap, legends ,exporting images and pdf from Qgis.
5ÔÂ15ÈÕ
ÊÚ˜IÄÚÈÝ£ºLoading the data Traffic congestion data and also Viewing the Highway map in this file the roads are in the curve format in real world roads are in straight line so learning how to map the roads in straigt line.
5ÔÂ20ÈÕ
ÊÚ˜IÄÚÈÝ£ºFrom the linestring files mapping the roads with straightline . For multiple roads selecting the nearest road and ploting them.
5ÔÂ27ÈÕ
ÊÚ˜IÄÚÈÝ£ºPerformed the task which is given in previous week and also understanded about the preprocessing and imputation techniques in machine learning.
2024Äê6ÔÂ
6ÔÂ10ÈÕ
ÊÚ˜IÄÚÈÝ£ºHow to read the dataset, preprocessing steps for the dataset like filling the nan values and detecting the outliers.
6ÔÂ17ÈÕ
ÊÚ˜IÄÚÈÝ£ºBasics of Machine learning. K Means clustering algorithm and it's mathematical formulas and reasons behind it.
6ÔÂ24ÈÕ
ÊÚ˜IÄÚÈÝ£ºImplementing the K means algorithm on the dataset which is preprocessed in the previous week.
2024Äê7ÔÂ
7ÔÂ1ÈÕ
ÊÚ˜IÄÚÈÝ£ºGetting Handson challenges on pami , to get experience for handling big data and also able to work extract useful hiddenpatterns in the large datasets.
7ÔÂ22ÈÕ
ÊÚ˜IÄÚÈÝ£ºMapping all the roads for a particular location using the qgis application (Traffic congestion) and able to extract all the properties of the road.
7ÔÂ29ÈÕ
ÊÚ˜IÄÚÈÝ£ºCompleting all the assigned tasks which has given previously and preparing the report format of all the works done until now with the hands on challenges.