Εξόρυξη γνώσης από δεδομένα δικηγορικού γραφείου διαχείρισης ληξιπρόθεσμων οφειλών
KeywordsΛηξιπρόθεσμες οφειλές ; Δάνεια ; Εξόρυξη γνώσης ; Μηχανική μάθηση ; Αλγόριθμοι ; Νομικά δεδομένα ; Python
The development of the productive forces is the goal of every socio-economic formation, in the context of modern society and the free economy, the development of the productive forces is the goal of every individual enterprise both in the international and domestic field of action. Moreover, the development of production with new production capabilities makes each company more resistant to competition and therefore more likely to survive and develop. The introduction of new, technologically advanced, techniques and methods is one of the ways to develop production as it makes it easier to process, monitor, control and predict the processes that each company must follow. It also leads to specific decisions that can change individual goals and even the company's strategy. In these contexts, the science of data and more specifically the extraction of knowledge from the abundance of data that belongs to each company become valuable and their analysis is an important objective that helps to understand the economic and production reality and thus to reveal the possible trends that are observed, i.e. in the ability to predict and draw up a strategy. With this thought as a basic starting point, the diploma thesis was carried out. IT departments are becoming increasingly important to any business. The same is the case for companies that operate in the banking sector and are not banks, such as law firms that have a call center. In modern Greece, the specific offices come into contact with hundreds of citizens every day and handle many important actions concerning the debts of borrowers or overdue accounts and accordingly inform the institutions that provided the loan or are entitled to a benefit. This operation ends up creating large databases with many different items from different sources. Extraction, processing and analysis from data can provide valuable tools and the extraction of appropriate knowledge to optimize business processes and even change strategy.