Abstract:
ﻫﺪف اﺻﻠﯽ ﺗﺤﻘﯿﻖ ﺣﺎﺿﺮ، ﺑﺮرﺳﯽ ارﺗﺒﺎط ﺑﯿﻦ ﺳﺮﻣﺎﯾﻪ در ﮔﺮدش و ﻋﻤﻠﮑﺮد ﺷﺮﮐﺘﻬﺎ ﺑﺎ اﺳﺘﻔﺎده از ﺗﮑﻨﯿﮑﻬﺎی داده ﮐﺎوی ﻣﯽ ﺑﺎﺷﺪ. ﺑﺪﯾﻦ ﻣﻨﻈﻮر اﻃﻼﻋﺎت و داده ﻫﺎی ﻣﺎﻟﯽ و ﮐﯿﻔﯽ ﯾﮏ ﻧﻤﻮﻧﻪ ﺗﺼﺎدﻓﯽ 413 ﺗﺎﯾﯽ از ﺷﺮﮐﺘﻬﺎی ﭘﺬﯾﺮﻓﺘﻪ ﺷﺪه در ﺑﻮرس ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ ﻧﻤﻮﻧﻪ ﻣﻮرد ﻧﻈﺮ در ﺳﺎﻟﻬﺎی 87 -93 ﻣﻮرد ﺑﺮرﺳﯽ ﻗﺮار ﻣﯽ ﮔﯿﺮد. در اﯾﻦ ﺗﺤﻘﯿﻖ ﭘﺲ از ﺑﺮرﺳﯽ ﻋﻤﻠﮑﺮد ﻫﺮﯾﮏ از ﺷﺮﮐﺘﻬﺎ، ﭼﻨﺪ ﻣﺘﻐﯿﺮ ﺗﻮﺿﯿﺢ دﻫﻨﺪه ﻣﻮرد ارزﯾﺎﺑﯽ ﻗﺮار ﮔﺮﻓﺖ و ﻧﺘﺎﯾﺞ ﺿﻤﻦ دﻻﻟﺖ ﺑﺮ ﺗﺄﯾﯿﺪ ﻧﻈﺮﯾﻪ ﻫﺎی اﻗﺘﺼﺎدی و ﻣﺎﻟﯽ ﻧﺸﺎن ﻣﯽ دﻫﺪ ﮐﻪ ﺗﮑﻨﯿﮏ ﻫﺎی داده ﮐﺎوی) ﻣﺎﺷﯿﻦ ﺑﺮدار ﭘﺸﺘﯿﺒﺎن، درﺧﺖ ﺗﺼﻤﯿﻢ، ﺷﺒﮑﻪ ﻫﺎی ﻋﺼﺒﯽ ( ﺟﻬﺖ ارزﯾﺎﺑﯽ ﻋﻤﻠﮑﺮد ﺷﺮﮐﺘﻬﺎاز ﮐﺎرآﯾﯽ ﺑﺎﻻﯾﯽ ﺑﺮﺧﻮردار ﻣﯽ ﺑﺎﺷﺪ و ﻫﻤﭽﻨﯿﻦ ﻋﻤﻠﮑﺮد ﭘﯿﺶ ﺑﯿﻨﯽ اﻟﮕﻮی ﺷﺒﮑﻪ ﻋﺼﺒﯽ ﺑﻪ ﻣﺮاﺗﺐ ﺑﻬﺘﺮ از ﺳﺎﯾﺮ اﻟﮕﻮ ﻫﺎ اﺳﺖ. ﻫﻤﭽﻨﯿﻦ ﯾﺎﻓﺘﻪ ﻫﺎی ﺗﺤﻘﯿﻖ ﻧﺸﺎن داد ﮐﻪ ﻣﺘﻐﯿﺮﻫﺎی ﻧﺴﺒﺖ ﺟﺎری، ﻧﺴﺒﺖ آﻧﯽ، ﺑﺎزده ﺣﻘﻮق ﺻﺎﺣﺒﺎن ﺳﻬﺎم، ﺑﺎزده داراﯾﯽ، اﺳﺘﺮاﺗﮋی داراﯾﯽ ﺟﺎری، اﺳﺘﺮاﺗﮋی ﺑﺪﻫﯽ ﺟﺎری ﺑﯿﺸﺘﺮﯾﻦ ﺗﺄﺛﯿﺮ را روی ﻋﻤﻠﮑﺮد ﺷﺮﮐﺘﻬﺎ دارد.
Businesses using various strategies in relation to working capital management could affect the company's liquidity. These guidelines will determine the amount of risk and return them. General Manager of the office of profit or risk, or the risk of escape. The main purpose of this study was to investigate the relationship between capital and firm performance using data mining techniques. For this purpose, financial and qualitative data for a random sample with 413 members have been selected from legal firms that in 1387 and 1392 years, will be survey. In this study, after investigating each of customer's credit dossier's, some descriptive variables were assessed and result's addition to verifying financial and economic theories', show that data mining methods have high efficiency for Validation of Evaluating of corporate performance. Also, performance of neural network model for prediction is much better than other model's. Also the findings showed that the current ratio, quick ratio, return on equity, return on assets, current