Hello, some time ago I did the review of Data MIning in public organizations:

Pejić-Bach, Mirjana. Data Mining in Public Organizations // Proceedings of ITI'2003 / Budin, Leo, Lužar-Stiffler, Vesna, Bekić, Zoran, Hljuz Dobrić, Vesna (ed.). Zagreb : SRCE University Computing Centre, 2003. pp. 211-216

https://bib.irb.hr/datoteka/162184.Data_Mining_-_ITI2003_-_M.Pejic-Bach.pdf

Depending on your data, there are several possible answers :

You will probably figure out a concrete application from one of these examples.

Hi Vahid,

Maybe this article can be useful for you..

Data Mining Solutions for Local Municipalities

Gözde Bakırlı, Derya Birant, Erol Mutlu, Alp Kut, Levent Denktaş and Dilşah

Çetin

Hello, some time ago I did the review of Data MIning in public organizations:

Pejić-Bach, Mirjana. Data Mining in Public Organizations // Proceedings of ITI'2003 / Budin, Leo, Lužar-Stiffler, Vesna, Bekić, Zoran, Hljuz Dobrić, Vesna (ed.). Zagreb : SRCE University Computing Centre, 2003. pp. 211-216

https://bib.irb.hr/datoteka/162184.Data_Mining_-_ITI2003_-_M.Pejic-Bach.pdf

A lot depends upon either u have structure or unstructured data. However, it may also be applied to improve CRM System(s) and eventually initiating proactive local body services.

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the (pretty short ...) survey below might help you

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and also (much longer)

hi

plz check

.Data_Mining_-_ITI2003_-_M.Pejic-Bach.pdf

If you have detailed information, you can create datasets to form them. Then, for example, about the location of the construction of the parks and the construction of the streets have a guess. You can use the following articles to get an idea

good luck

Thank you. Do you think the social network analysis is a kind of AI? If yes, so waht is the usage of SNA in the municipality?

Working for an electric utility, I (and my team of course) developed a system to predict municipal growth and the type of growth (residential, industrial, etc.). Transmission lines, distribution systems and substations are incredibly expensive. If they are under utilized or over utilized there is a cost associated with either. We used a variety of data sources including warping aerial photographs onto current municipal maps and survey data available to create 3D model of the area of interest. Using the aerial photos and other resources, we established current land use: residential, cemetery, commercial, etc. So we created a database by these methods and then by analyzing this data we could fairly accurately project municipal growth and estimate future power usage. Then we could use this model to make decisions on placing substations and other system facilities. 

Hello, there is variety of possibilities. Depending of the goal and available data (numeric - precise or fuzzy, textual) etc.

I have mainly contributed by fuzzy logic in this field and reviewed some papers.

If you are interested in credit rating you could be interested in:

Credit rating analysis using adaptive fuzzy rule-based systems - an industry-specific approach by Petr Hájek published in CEJOR.

If you are interested in application of fuzzy logic I could suggest you some of our contributions:

A fuzzy system for municipalities classification published in CEJOR

Integration of data selection and classification by fuzzy logic published in ESWA (examples are related to municipal data).

If you are interested to mine flexible relational and relational knowledge:

Synergy of Linguistic Summaries and Fuzzy Functional Dependencies for Mining Knowledge in the Data published in 18th International Conference on System Theory, Control and Computing (IEEE - ICSTCC 2014 (examples are related to municipal data).

If you are interested in data collection and issues related to missing values etc, I could send you more information.

I hope I helped you a bit,

Miroslav

Thanks a lot for your useful information. All of the answers help to improve the performance of the municipality. But, is there any way to improve the culture and social behavior of people with data mining in municipalities?Actually, the municipalities' policy is affected on the culture of people (e.g. encourage people to pay tax on time, etc ).

What is your opinion about these policies? Are there any solution for these kinds of problems with AI, data mining or social network analysis or anything else?

Hi, a few years ago I got the opportunity to deal with an interesting and challenging data mining problem for social welfare in indigenous communities. The data was obtained from surveys with questions that went from age, sex, salary, education etc., to questions like Does the town need more transportation services? health services? Would you like to move to a larger city?, etc. The main goal of the study was to convince the municipality that the indigenous community was kind of disregarded or not taken much in consideration (N=900).

We tried association rules, and found some interesting rules for example: 

*speaks_mainly_non_indigenous_language_at home ->

person_likes_town_where_he/she_lives

support = 142, confidence=99

*speaks_mainly_indigenous_language_at home -> person_likes_home_where_he/she_lives

support = 141, confidence=97

Which prob. reflected the fact that natives liked more their home, i.e. they had a more home-centered life, on the other hand non-natives liked more their town, i.e. they were more city-centered. Unfortunately, there was no paper resulting from these investigations. Mainly because of lack of time and not surprisingly results.

I hope this helps.

Use Weka

applications of data mining or more generally big data analytics in urban context  are really very many. Some remarks follow about research projects in which I have been actually involved.

We have applied clustering and SVM in water distribution networks for leak detection , demand forecasting and more generally asset management. Big data  solutions are a low cost solution to improve also energy efficiency are important

, Also demand side management of transportation systems can be performed thru social network analysis.

I attach some pubblications and the slides of a talk I gave at the IHE in Delft about ICT and Analytics solution for sustainable development of cities.