’’نگارشاتِ راشد‘‘ اور صاحبِ کتاب
حافظ محمد اکرم راشدؔ سے میرے دیرینہ اور دیر پا تعلقات ہیں ، یہ ایک علمی خاندان سے تعلق رکھتے ہیں۔ اِن کے بزرگوں کے دینِ اسلام کے میدان میں لگائے ہوئے شجر سایہ دار مسحور کن ماحول پیش کر رہے ہیں اور تشنگانِ علم کی پیاس بجھانے کے لیے دورانِ سفر طلباء کے راستے میں آنے والی جہالت اور کم علمی کی تپش اور دھوپ کو رفع کرنے میں مثالی کردار ادا کر رہے ہیں ۔ میں نے صرف کتاب اور صاحبِ کتاب کے بارے میں چند سطور ضبط تحریر میں لانے کے لیے اپنے قلم کو اذنِ خرام دینا ہے ۔موصوف قلم کے میدان کے شاہسوار ہیں ، ندائے حق کی ادارت ہو، منظور العارفین کی تدوین ہو ، یا منظورالعارفین ٹرسٹ کا قیام ہو، موصوف پیش پیش نظر آتے ہیں ،آپ ہمارے ادارے منظور العارفین ٹرسٹ کے ساتھ قلب و اذہان کی جملہ قویٰ کے ساتھ وابستہ رہے ہیں ۔ مُرور ایّام کے ساتھ پیرانہ سالی اور ضعف کا شکار ہو کر کچھ عرصہ سے گوشہ نشین ہیں تاہم تحریر سے عشق کی حد تک لگائو کی بنا پر کوئی نہ کوئی شاہ پارہ تخلیق کرتے رہتے ہیں ۔ آپ کالم نویس ہونے کے ساتھ ساتھ ایک عظیم خوش نویس بھی ہیں عارفوالااور اس کے مضافات میں خطاطی کے حوالے سے ان کا ایک نام ہے ۔ دنیوی اور دینی تعلیم کے امتزاج کے حامل ہیں اور اپنی ایک شناخت رکھتے ہیں ۔ سرکاری ادارہ میں رئیس مدرسہ کے فرائض سر انجام دے چکے ہیں ۔
مذہبی خدمات کے حوالے سے اِن کی خدمات مہر نیم روز کی طرح واضح ہیں ۔ مرکزی جامع مسجد -N بلاک عارفوالا کی امامت اور خطابت کے فرائض بحسن و خوبی سر انجام دے رہے ہیں۔صاحب ورع اور تقویٰ ہونا اِن کی...
Islam has given a complete code of life to run the system of this universe, which started with the arrival of Hazrat Adam (A.S) in this world and was completed with the Prophet (P.B.U.H). It is a comprehensive and system in which the individual and the rights and duties of both congregations are based on the concept of justice and fairness. Under this system of Islam, the supreme command on earth is only Allah’s persons, the position of man is that of vicegerent and caliph, mans responsibility is to carry out all the affairs of life according to the will of Allah. The earth and its resources will created for the benefits of all mankind. All human beings have the right to use them according to their needs, but no individual has the right to seize or hoard these resources to the detriment of others. Just as every person has rights, such as protection of life and property, honor and reputation, so it is also his duty to provide comfort and relief to no other people and not to cause any harm to anyone.
The expansion of World Wide Web (WWW) in its size and exponential growth of its users has made the web most powerful and dynamic medium for information dissemination, storage, and retrieval. Moreover, the improvements in data storage technology have also made it possible to capture the huge amount of the user interactions (clickstreams) with the websites. The availability of such a huge amount of web user clickstreams has opened the new challenges for researchers to explore the weblog for the identification of hidden knowledge. For the last decade, web usage mining is playing a crucial role in the identification of trends from user clickstreams such as web personalization; user profiling; and user behavior analysis. These trends are beneficial in many ways such as information retrieval, website administration and improvement; customer relationship management; e-marketing; and recommender systems. The plenty of techniques are available in the literature, however, the accuracy, correctness and validity of the generated trends is totally relying on the proper selection of web mining process such as web sessionization, which is the benchmark for the later web usage mining stages. For the promising and optimized results, weblog sessionization is the eventual choice. Moreover, the extraction of proper, accurate and noise free sessionization is a demanding and challenging job in the presence of huge web clickstreams. The sessionization problem may fail to identify the focused and visualized groups from clickstreams records with high coverage and precision. Even though the well-known web session similarity measures such as Euclidean, Cosine, and Jaccard are prevalent in literature for mining process at the early learning stages. The web sessionization must take account of the validity of generated trends, which entirely depends upon the correctness and credibility of web sessions. To overcome the limitations of existing web sessionization techniques, we propose a Framework for Mining Trends (F MET) that empowers us to gauge the user activities on the website through evolutionary hierarchical Sessionization. Hierarchical Sessionization enhances the visualization of user click data to improve the business logic and mines the focused groups for scalable tracking of user activities. The foundation of the proposed framework is the swarm based optimized clustering technique along with a proposed web session similarity measure ST Index to address the Hierarchical Sessionization problem. The proposed web session similarity measure ST Index for hierarchical sessionization overcomes the limitations of Euclidean, Cosine and Jaccard measures, which may have failed to explicitly seek the proper and accurate trends. The Euclidean measures are of numerical in nature while the weblog data is of mixed nature. Moreover, existing measures are best for independent and isolated clustering groups. The proposed similarity measure ST Index computes the similarity among the user sessions through the common features (pages) shared among the sessions while assigning weight to uncommon features among the given sessions along with the minimum time shared by the given sessions time ratio. We validated and verify the proposed framework on three different datasets. The proposed ST Index measure produced the accurate and valid relationship among the sessions against common web session similarity measures. Furthermore, framework also produced the correct, accurate and valid trends. The performance of the proposed framework is validated against the well-known data analysis metrics such as VC (visitor coherence), accuracy, coverage and F1 Measures. The results show the significance improvements over the existing techniques of hierarchical Sessionization