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Application of data mining for the investigation of fictitious surveys

Thesis Info

Author

Samreena Abbas

Department

Department of Computer Science

Program

MS

Institute

International Islamic University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2010

Thesis Completion Status

Completed

Subject

Computer Science

Language

English

Other

MS 006.3 SAA

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676723243439

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, طوطے تے گالڑ دی دوستی

طوطے تے گالڑ دی دوستی

اک واری دی گل اے کہ اک جنگل وچ اک طوطا رہندا سی۔ طوطا بہت خوش سی کہ اوس نوں جنگل وچوں کھاون لئی وافر پھل مل جاندے نیں۔ اوہ ایہناں نوں کھاندا تے جنگل دی سیر کردا۔ اک دن اوہ امرود دے درخت اتے بیٹھا امرود کھا رہیا سی کہ اک گالڑ وی اوس درخت اتے چڑھ آندا اے۔ پہلاں اک دوجے دے یار بن جاندے نیں۔ طوطا گالڑ نوں امرود کھواوندا اے تے اپنے گھر آون دی دعوت دیندا اے۔ ایس توں بعد طوطا تے گالڑ اپنے اپنے گھر آ جاندے نیں۔

کئی دناں توں بعد اک دن ہلکے ہلکے بدل آئے ہوئے سن۔ ٹھنڈی ہوا چل رہی سی۔ گالڑ گھر وچ ویہلا سی۔ اوس دے من وچ خیال آیا کہ کیوں نہ اج طوطے دے گھر پھیرا پایا جاوے۔ ایس خیال دے آوندیاں ای اوہ تیار ہو کے طوطے دے گھر اپڑ جاندا اے۔ طوطا اوہنوں اپنے گھر ویکھ کے بہت خوش ہوندا اے تے جی آیاں نوں آکھدا اے۔ جنگل وچوں ہر طرح دے پھل اکٹھا کر کے اوہدی مہمان نوازی کر دا اے۔ گالڑ سب کجھ کھا کے طوطے کولوں گھر واپسی دی اجازت لیندا اے۔ واپسی تے گالڑ طوطے نوں اپنے گھر آون دی دعوت دیندا اے۔ جو طوطا قبول کر لیندا اے۔

کجھ دناں بعد طوطا گالڑ دے گھر جاون دا پروگرام بناندا اے۔ اوہ تیار ہو کے اوہدے گھر جاندا اے۔ اوہدا گھر اک سکی ٹاہلی اتے ہوندا اے۔ گالڑ طوطے نوں خوش آمدید آکھدا اے تے خوشی دا اظہار کردا اے۔ گالڑ کدی ٹاہلی دے اپر چڑھدا اے تے کدی تھلے اتر دا اے۔ طوطا اوہدا ایہہ عمل ویکھ کے ڈاڈا حیران ہوندا اے۔ جدوں بہت وقت لنگھ گیا تاں طوطے نے سوچیا کہ...

China-Pakistan Economic Corridor: A Case Study Of Internal Security Challenge Faced by Pakistan

The strongest and most crucial strategic and economic links in the south Asian region are the friendships between Pakistan and China. China and Pakistan assert that the people who live on either side of the Himalayas have interacted with one another in a trustworthy and sincere manner from ancient times. Chinese investment in the CPEC represents the greatest sum (62 billion dollars) ever between two friendly nations. China and Pakistan are dealing with numerous internal and external security challenges as a result of their strong friendship and significant investment in this project. Both nations, such as India and Afghanistan, are posing security problems to Pakistan, which has several security issues. The USA, India, the UK, and Israel are also causing strife and tension in Pakistan. These nations are also causing internal problems by sponsoring terrorist organizations like the Taliban and ISIS as well as nationalist organizations like the Baloch, the Lashkar-e-Jhangvi, and Sipah Muhammad. The challenges to Pakistan's internal security are discussed in this study.

Going Concern Prediction Models of Liquidated Non-Financial Firms of Pakistan.

The main focus of this study is whether the original version of the prediction models are the best proxy for evaluating the firm’s status as going concern that are operated in creditor-oriented regime. This study is much more precise for the selection of firm as an analysis sample to formulate the prediction model for the firm that are operated in the creditor-oriented regime. The selection is based on such type of firms, whose: a) continuous financial years net losses, b) the external and independent auditors issue the non-going concern opinion of the audited client, and c) all the operations of firms are liquidated. The analysis sample consist of one hundred and twenty-four (124) non-financial firms. In first stage, the validity of the original version of the existing firm’s bankruptcy prediction models, like Altman (1968) and Rashid and Abbas (2011); the original version of the existing going concern prediction models, like Koh and Killough (1990), and Koh (1991); and the original version of the existing liquidation prediction models, like Kuruppur, Laswad and Oyelere (2003) are examined. In second stage these aforesaid models are re-estimated (or updated) and the revised prediction models are formulated for the firms that are operated in creditor regime. In third stage, this study formulated the prediction models by using the MDA and LR techniques to deal with the issues faced by the auditor for evaluating the firm’s status as going concern. The type I error and type II error of the formulated prediction models for evaluating the firm’s status as going concern is less than the type I error and type II error of the existing firm’s prediction models, re-estimated (or updated) version of the existing firm’s prediction models and new prediction models based on the pool of variables. The proposed prediction models are considered as the best alternative for evaluating the firm’s status as going concern. The finding based on five (5) discriminatory ratios that are the part of statement of profit and loss, and the statement of financial positions, the newly formulated prediction models, consist of accounting ratios, is not only a useful tool for accessing the firm’s status as going concern, but also a supportive tool for accessing the firm’s financial fraud risk, for the external and independent auditors in order to construct their opinion for a firm that is operated in the creditor-oriented regime. Implication that emerge from these results has developed the instrument which will be highly recognized by the accounting and auditing practitioners like the auditors of developed economies. Therefore, the regulatory authorities in Pakistan, like SECP, SBP and PSX; and the audit practitioner institutes, like ICAP, and ICMAP, to use these formulated the prediction models for evaluating the firm’s status as going concern that are operated in creditor-oriented regime. The proposed models would also be helpful in monitoring and assessing the financial health of the firms as well.