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سید صدیق حسن

سید صدیق حسن
گزشتہ مہینہ سید صدیق حسن صاحب مرحوم کا حادثہ وفات ایسے وقت پیش آیا جب معارف چھپ چکا تھا، اس لیے تعزیت کا فرض ادا نہ ہوسکا، یہ اتفاق ہے کہ ان کی وفات سے صرف تین چار دن پیشتر ندوہ کی مجلس انتظامیہ کے جلسہ میں ان سے ملاقات ہوئی تھی، پھر دوسرے دن وہ ملنے کے لئے آئے، اس وقت یہ گمان بھی نہیں ہوسکتا تھا کہ یہ آخری ملاقات ہے، اعظم گڑھ واپس آنے کے دوسرے دن معلوم ہوا کہ مرحوم نے عالم غربت میں جنت کی راہ لی، اس سے اور بھی دل متاثر ہوا، مرحوم اپنے اوصاف و خصوصیات میں مومن کامل، اخلاص وﷲیت، حسن خلق، سادگی و تواضع، خدمت خلق، اہل حاجت کی امداد و دستگیری کا نمونہ اور غریبوں اور بے نواؤں کا ملجا و ماویٰ تھے، ان کی فیض رسانی عام تھی، کسی طبقہ اور فرقہ کی تخصیص نہ تھی، ہر حاجت مند کے لئے ان کا دروازہ کھلا ہوا تھا، عقیدۃً اور عملاً پکے مسلمان تھے، ان کے یہاں ہر ہفتہ قرآن مجید کا درس ہوتا تھا، جس میں بہت سے مسلمان حکام شریک ہوتے تھے، ان میں انھوں نے ایک مذہبی ذوق پیدا کردیا تھا، دینی و اسلامی اداروں سے ان کو بڑی دلچسپی تھی، ندوے کے رکن رکین اور بڑے معاون و مددگار تھے، دارالمصنفین سے بھی ان کو مخلصانہ تعلق تھا، اس کی مجلس انتظامیہ کے رکن بھی تھے، ان کا مذہبی اور اسلامی تاریخ کا مطالعہ بھی وسیع تھا، انھوں نے جمع و تدوین قرآن پر ایک طویل مقالہ لکھا تھا، جو معارف کے اس نمبر میں چھپ رہا ہے، اس سے ان کے علمی و دینی ذوق اور اس میں دقت نظر کا اندازہ ہوگا، شعر و ادب کا بھی ستھرا ذوق رکھتے تھے، رسمی غزل سرائی کے علاوہ...

سماع و وجد میں مجدد الف ثانی اور امام ابن تیمیہ کے افکار کا تقابلی مطالعہ

According to Ibn-e-Taimia and Mujaddad Alf-e-Sani the Samaa’ of Quran is a real beneficial Samaa’ of perfect Muslims, the Samaa’ of poetry comprises of praise of Prophet (SAW), songs of Jihad and Islam are also permissible and admirable in Islam but the Samaa’ of innovators which comprises of opposing Shariah poetry and practicing of music and clapping is totally innovation and sin. It is important to note that unlike Ibn-e-Taimia and Hadrat Mujadad when mark the Samaa’ valid or invalid, by this he means the particular Samaa’ or spiritual songs of Sufis singed and listened with a particular method that melodramatize the people, Ibn-e-Taimia not interested in such type of Samaa’, Hadrat Mujadad also not inclined towards this type of Samaa’ but according to him it is permissible only sometime to remove the spiritual toughness. Both Allama(s) Ibn-e-Taimia and Mujadad Alf-e-Sani believe that during listening Quran or mentioning GOD(ادخ رکز) some intuitive conditions

A Framework for Mining Emerging Trends in Web Clickstreams With Particle Swarm Optimization

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
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

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