Εξόρυξη γνώσης από δεδομένα δικηγορικού γραφείου διαχείρισης ληξιπρόθεσμων οφειλών
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Keywords
Ληξιπρόθεσμες οφειλές ; Δάνεια ; Εξόρυξη γνώσης ; Μηχανική μάθηση ; Αλγόριθμοι ; Νομικά δεδομένα ; PythonAbstract
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.